Spaces:
Running
Running
Add Pelican Bicycle SVG Benchmark
Browse filesA comprehensive benchmark testing AI models' ability to generate SVG art of a pelican riding a bicycle.
Features:
- Tests 20 models from Hugging Face router API
- Each model tested with 3 temperature settings (0, 0.5, 1.0)
- Clean, minimalist UI showing temperature variations side by side
- Responsive SVG display
- Only shows models with successful generations
- 15 out of 20 models successfully generated at least one SVG
Created by Simon Willison
Powered by https://router.huggingface.co/v1/models
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <[email protected]>
- benchmark_models.py +204 -0
- benchmark_results.json +0 -0
- benchmark_stats.json +30 -0
- fetch_models.py +14 -0
- index.html +211 -19
- models.json +1920 -0
benchmark_models.py
ADDED
@@ -0,0 +1,204 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import os
|
2 |
+
import json
|
3 |
+
import time
|
4 |
+
import re
|
5 |
+
import requests
|
6 |
+
from concurrent.futures import ThreadPoolExecutor, as_completed
|
7 |
+
from datetime import datetime
|
8 |
+
|
9 |
+
# Get HF token
|
10 |
+
HF_TOKEN = os.environ.get("HF_TOKEN", "")
|
11 |
+
|
12 |
+
# Load models
|
13 |
+
with open("models.json", "r") as f:
|
14 |
+
models_data = json.load(f)
|
15 |
+
|
16 |
+
# Extract model IDs
|
17 |
+
model_ids = [model["id"] for model in models_data["data"]]
|
18 |
+
|
19 |
+
# Limit to first 20 models
|
20 |
+
model_ids = model_ids[:20]
|
21 |
+
|
22 |
+
|
23 |
+
def extract_svg(text):
|
24 |
+
"""Extract SVG content from model response"""
|
25 |
+
# First, check for code blocks with different markers
|
26 |
+
code_block_patterns = [
|
27 |
+
r"```svg\s*(.*?)\s*```",
|
28 |
+
r"```xml\s*(.*?)\s*```",
|
29 |
+
r"```html\s*(.*?)\s*```",
|
30 |
+
r"```\s*(.*?)\s*```",
|
31 |
+
]
|
32 |
+
|
33 |
+
for pattern in code_block_patterns:
|
34 |
+
match = re.search(pattern, text, re.DOTALL | re.IGNORECASE)
|
35 |
+
if match:
|
36 |
+
content = match.group(1)
|
37 |
+
# Extract SVG from the code block content
|
38 |
+
if "<svg" in content:
|
39 |
+
svg_match = re.search(
|
40 |
+
r"<svg[^>]*>.*?</svg>", content, re.DOTALL | re.IGNORECASE
|
41 |
+
)
|
42 |
+
if svg_match:
|
43 |
+
return svg_match.group(0)
|
44 |
+
|
45 |
+
# If no code blocks, look for SVG directly in the text
|
46 |
+
# Handle cases where SVG might be in thinking tags or other wrappers
|
47 |
+
svg_pattern = r"<svg[^>]*>.*?</svg>"
|
48 |
+
svg_match = re.search(svg_pattern, text, re.DOTALL | re.IGNORECASE)
|
49 |
+
if svg_match:
|
50 |
+
return svg_match.group(0)
|
51 |
+
|
52 |
+
return None
|
53 |
+
|
54 |
+
|
55 |
+
def test_model_with_temperature(model_id, temperature):
|
56 |
+
"""Test a single model with a specific temperature"""
|
57 |
+
print(f"Testing {model_id} with temperature {temperature}...")
|
58 |
+
|
59 |
+
result = {
|
60 |
+
"model_id": model_id,
|
61 |
+
"temperature": temperature,
|
62 |
+
"timestamp": datetime.now().isoformat(),
|
63 |
+
"success": False,
|
64 |
+
"response_time": None,
|
65 |
+
"svg_content": None,
|
66 |
+
"error": None,
|
67 |
+
"raw_response": None,
|
68 |
+
}
|
69 |
+
|
70 |
+
prompt = """Create a pelican riding a bicycle using SVG. Return only the SVG code without any explanation or markdown formatting. The SVG should be a complete, valid SVG document starting with <svg> and ending with </svg>."""
|
71 |
+
|
72 |
+
headers = {
|
73 |
+
"Authorization": f"Bearer {HF_TOKEN}",
|
74 |
+
"Content-Type": "application/json",
|
75 |
+
}
|
76 |
+
|
77 |
+
data = {
|
78 |
+
"model": model_id,
|
79 |
+
"messages": [{"role": "user", "content": prompt}],
|
80 |
+
"max_tokens": 2000,
|
81 |
+
"temperature": temperature,
|
82 |
+
}
|
83 |
+
|
84 |
+
try:
|
85 |
+
start_time = time.time()
|
86 |
+
|
87 |
+
response = requests.post(
|
88 |
+
"https://router.huggingface.co/v1/chat/completions",
|
89 |
+
headers=headers,
|
90 |
+
json=data,
|
91 |
+
timeout=60,
|
92 |
+
)
|
93 |
+
|
94 |
+
response_time = time.time() - start_time
|
95 |
+
result["response_time"] = response_time
|
96 |
+
|
97 |
+
if response.status_code == 200:
|
98 |
+
response_data = response.json()
|
99 |
+
if response_data.get("choices") and response_data["choices"][0].get(
|
100 |
+
"message"
|
101 |
+
):
|
102 |
+
response_text = response_data["choices"][0]["message"]["content"]
|
103 |
+
result["raw_response"] = response_text
|
104 |
+
|
105 |
+
# Extract SVG
|
106 |
+
svg_content = extract_svg(response_text)
|
107 |
+
if svg_content:
|
108 |
+
result["svg_content"] = svg_content
|
109 |
+
result["success"] = True
|
110 |
+
else:
|
111 |
+
result["error"] = "No valid SVG found in response"
|
112 |
+
else:
|
113 |
+
result["error"] = "Empty response from model"
|
114 |
+
else:
|
115 |
+
result["error"] = f"HTTP {response.status_code}: {response.text}"
|
116 |
+
|
117 |
+
except Exception as e:
|
118 |
+
result["error"] = str(e)
|
119 |
+
print(f"Error testing {model_id} with temperature {temperature}: {e}")
|
120 |
+
|
121 |
+
return result
|
122 |
+
|
123 |
+
|
124 |
+
def main():
|
125 |
+
temperatures = [0, 0.5, 1.0]
|
126 |
+
print(f"Testing {len(model_ids)} models with {len(temperatures)} temperature settings...")
|
127 |
+
results = []
|
128 |
+
|
129 |
+
# Create test tasks for each model and temperature combination
|
130 |
+
test_tasks = []
|
131 |
+
for model_id in model_ids:
|
132 |
+
for temp in temperatures:
|
133 |
+
test_tasks.append((model_id, temp))
|
134 |
+
|
135 |
+
# Use ThreadPoolExecutor for concurrent requests
|
136 |
+
with ThreadPoolExecutor(max_workers=10) as executor:
|
137 |
+
future_to_task = {
|
138 |
+
executor.submit(test_model_with_temperature, task[0], task[1]): task
|
139 |
+
for task in test_tasks
|
140 |
+
}
|
141 |
+
|
142 |
+
for future in as_completed(future_to_task):
|
143 |
+
task = future_to_task[future]
|
144 |
+
model_id, temp = task
|
145 |
+
try:
|
146 |
+
result = future.result()
|
147 |
+
results.append(result)
|
148 |
+
print(
|
149 |
+
f"Completed {model_id} (temp={temp}): {'Success' if result['success'] else 'Failed'}"
|
150 |
+
)
|
151 |
+
except Exception as e:
|
152 |
+
print(f"Exception for {model_id} (temp={temp}): {e}")
|
153 |
+
results.append({
|
154 |
+
"model_id": model_id,
|
155 |
+
"temperature": temp,
|
156 |
+
"success": False,
|
157 |
+
"error": str(e)
|
158 |
+
})
|
159 |
+
|
160 |
+
# Save results
|
161 |
+
with open("benchmark_results.json", "w") as f:
|
162 |
+
json.dump(results, f, indent=2)
|
163 |
+
|
164 |
+
# Generate statistics
|
165 |
+
total_tests = len(results)
|
166 |
+
successful_tests = sum(1 for r in results if r.get("success", False))
|
167 |
+
|
168 |
+
# Group by model to count unique models with at least one success
|
169 |
+
models_with_success = {}
|
170 |
+
for r in results:
|
171 |
+
if r.get("success", False):
|
172 |
+
models_with_success[r["model_id"]] = True
|
173 |
+
|
174 |
+
stats = {
|
175 |
+
"total_models": len(model_ids),
|
176 |
+
"temperatures_tested": temperatures,
|
177 |
+
"total_tests": total_tests,
|
178 |
+
"successful_tests": successful_tests,
|
179 |
+
"failed_tests": total_tests - successful_tests,
|
180 |
+
"models_with_at_least_one_success": len(models_with_success),
|
181 |
+
"average_response_time": (
|
182 |
+
sum(r.get("response_time", 0) for r in results if r.get("response_time"))
|
183 |
+
/ len([r for r in results if r.get("response_time")])
|
184 |
+
if any(r.get("response_time") for r in results)
|
185 |
+
else 0
|
186 |
+
),
|
187 |
+
"successful_model_ids": list(models_with_success.keys()),
|
188 |
+
}
|
189 |
+
|
190 |
+
with open("benchmark_stats.json", "w") as f:
|
191 |
+
json.dump(stats, f, indent=2)
|
192 |
+
|
193 |
+
print("\nBenchmark complete!")
|
194 |
+
print(f"Total models tested: {stats['total_models']}")
|
195 |
+
print(f"Temperature settings: {stats['temperatures_tested']}")
|
196 |
+
print(f"Total tests: {stats['total_tests']}")
|
197 |
+
print(f"Successful tests: {stats['successful_tests']}")
|
198 |
+
print(f"Failed tests: {stats['failed_tests']}")
|
199 |
+
print(f"Models with at least one success: {stats['models_with_at_least_one_success']}")
|
200 |
+
print(f"Average response time: {stats['average_response_time']:.2f}s")
|
201 |
+
|
202 |
+
|
203 |
+
if __name__ == "__main__":
|
204 |
+
main()
|
benchmark_results.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
benchmark_stats.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"total_models": 20,
|
3 |
+
"temperatures_tested": [
|
4 |
+
0,
|
5 |
+
0.5,
|
6 |
+
1.0
|
7 |
+
],
|
8 |
+
"total_tests": 60,
|
9 |
+
"successful_tests": 35,
|
10 |
+
"failed_tests": 25,
|
11 |
+
"models_with_at_least_one_success": 15,
|
12 |
+
"average_response_time": 10.812262760965448,
|
13 |
+
"successful_model_ids": [
|
14 |
+
"moonshotai/Kimi-K2-Instruct",
|
15 |
+
"Qwen/Qwen3-Coder-480B-A35B-Instruct",
|
16 |
+
"Qwen/Qwen3-235B-A22B-Instruct-2507",
|
17 |
+
"meta-llama/Llama-3.1-8B-Instruct",
|
18 |
+
"zai-org/GLM-4.5",
|
19 |
+
"deepseek-ai/DeepSeek-R1",
|
20 |
+
"zai-org/GLM-4.1V-9B-Thinking",
|
21 |
+
"Qwen/Qwen3-235B-A22B",
|
22 |
+
"meta-llama/Llama-3.2-3B-Instruct",
|
23 |
+
"meta-llama/Meta-Llama-3-8B-Instruct",
|
24 |
+
"Qwen/Qwen3-32B",
|
25 |
+
"Qwen/Qwen3-4B",
|
26 |
+
"deepseek-ai/DeepSeek-R1-0528-Qwen3-8B",
|
27 |
+
"meta-llama/Llama-4-Scout-17B-16E-Instruct",
|
28 |
+
"Qwen/Qwen3-30B-A3B"
|
29 |
+
]
|
30 |
+
}
|
fetch_models.py
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import requests
|
2 |
+
import json
|
3 |
+
|
4 |
+
# Fetch available models from Hugging Face router
|
5 |
+
response = requests.get("https://router.huggingface.co/v1/models")
|
6 |
+
models = response.json()
|
7 |
+
|
8 |
+
print(f"Found {len(models['data'])} models:")
|
9 |
+
for model in models['data']:
|
10 |
+
print(f"- {model['id']}")
|
11 |
+
|
12 |
+
# Save to file for later use
|
13 |
+
with open('models.json', 'w') as f:
|
14 |
+
json.dump(models, f, indent=2)
|
index.html
CHANGED
@@ -1,19 +1,211 @@
|
|
1 |
-
<!
|
2 |
-
<html>
|
3 |
-
|
4 |
-
|
5 |
-
|
6 |
-
|
7 |
-
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
12 |
-
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
|
19 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<!DOCTYPE html>
|
2 |
+
<html lang="en">
|
3 |
+
<head>
|
4 |
+
<meta charset="UTF-8">
|
5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
6 |
+
<title>Pelican Bicycle SVG Benchmark</title>
|
7 |
+
<style>
|
8 |
+
* {
|
9 |
+
margin: 0;
|
10 |
+
padding: 0;
|
11 |
+
box-sizing: border-box;
|
12 |
+
}
|
13 |
+
|
14 |
+
body {
|
15 |
+
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif;
|
16 |
+
background-color: #fff;
|
17 |
+
color: #333;
|
18 |
+
line-height: 1.6;
|
19 |
+
}
|
20 |
+
|
21 |
+
.container {
|
22 |
+
max-width: 1400px;
|
23 |
+
margin: 0 auto;
|
24 |
+
padding: 20px;
|
25 |
+
}
|
26 |
+
|
27 |
+
h1 {
|
28 |
+
text-align: center;
|
29 |
+
margin-bottom: 5px;
|
30 |
+
color: #000;
|
31 |
+
font-size: 1.8em;
|
32 |
+
font-weight: 500;
|
33 |
+
}
|
34 |
+
|
35 |
+
.subtitle {
|
36 |
+
text-align: center;
|
37 |
+
color: #666;
|
38 |
+
margin-bottom: 30px;
|
39 |
+
font-size: 0.9em;
|
40 |
+
}
|
41 |
+
|
42 |
+
.models-container {
|
43 |
+
margin-bottom: 40px;
|
44 |
+
}
|
45 |
+
|
46 |
+
.model-group {
|
47 |
+
margin-bottom: 30px;
|
48 |
+
background: white;
|
49 |
+
border: 1px solid #eee;
|
50 |
+
padding: 20px;
|
51 |
+
}
|
52 |
+
|
53 |
+
.model-group-header {
|
54 |
+
font-weight: bold;;
|
55 |
+
font-size: 1.1em;
|
56 |
+
color: #333;
|
57 |
+
margin-bottom: 15px;
|
58 |
+
padding-bottom: 10px;
|
59 |
+
border-bottom: 2px solid #f0f0f0;
|
60 |
+
}
|
61 |
+
|
62 |
+
.temperature-grid {
|
63 |
+
display: grid;
|
64 |
+
grid-template-columns: repeat(3, 1fr);
|
65 |
+
gap: 15px;
|
66 |
+
}
|
67 |
+
|
68 |
+
.temp-card {
|
69 |
+
border: 1px solid #eee;
|
70 |
+
overflow: hidden;
|
71 |
+
}
|
72 |
+
|
73 |
+
.temp-header {
|
74 |
+
padding: 8px;
|
75 |
+
background: #fafafa;
|
76 |
+
border-bottom: 1px solid #f0f0f0;
|
77 |
+
font-size: 0.85em;
|
78 |
+
text-align: center;
|
79 |
+
color: #666;
|
80 |
+
}
|
81 |
+
|
82 |
+
.svg-preview {
|
83 |
+
background: white;
|
84 |
+
padding: 20px;
|
85 |
+
height: 300px;
|
86 |
+
display: flex;
|
87 |
+
align-items: center;
|
88 |
+
justify-content: center;
|
89 |
+
position: relative;
|
90 |
+
}
|
91 |
+
|
92 |
+
.svg-preview svg {
|
93 |
+
max-width: 100%;
|
94 |
+
max-height: 180px;
|
95 |
+
width: auto;
|
96 |
+
height: auto;
|
97 |
+
}
|
98 |
+
|
99 |
+
.no-svg {
|
100 |
+
color: #95a5a6;
|
101 |
+
font-style: italic;
|
102 |
+
text-align: center;
|
103 |
+
}
|
104 |
+
|
105 |
+
|
106 |
+
.loading {
|
107 |
+
text-align: center;
|
108 |
+
padding: 50px;
|
109 |
+
font-size: 1.2em;
|
110 |
+
color: #7f8c8d;
|
111 |
+
}
|
112 |
+
|
113 |
+
|
114 |
+
@media (max-width: 768px) {
|
115 |
+
.models-grid {
|
116 |
+
grid-template-columns: 1fr;
|
117 |
+
}
|
118 |
+
|
119 |
+
h1 {
|
120 |
+
font-size: 2em;
|
121 |
+
}
|
122 |
+
|
123 |
+
.stat-value {
|
124 |
+
font-size: 2em;
|
125 |
+
}
|
126 |
+
}
|
127 |
+
</style>
|
128 |
+
</head>
|
129 |
+
<body>
|
130 |
+
<div >
|
131 |
+
<h1>Pelican Bicycle SVG Benchmark</h1>
|
132 |
+
<p class="subtitle">Testing AI models' ability to create SVG art of a pelican riding a bicycle<br>
|
133 |
+
Benchmark created by <a href="https://simonwillison.net/" target="_blank" style="color: #666;">Simon Willison</a><br>
|
134 |
+
Inference done with <a href="https://router.huggingface.co/v1/models" target="_blank" style="color: #666;">https://router.huggingface.co/v1/models</a></p>
|
135 |
+
|
136 |
+
<div class="models-container" id="modelsContainer">
|
137 |
+
<div class="loading">Loading model results...</div>
|
138 |
+
</div>
|
139 |
+
</div>
|
140 |
+
|
141 |
+
<script>
|
142 |
+
let allResults = [];
|
143 |
+
|
144 |
+
async function loadResults() {
|
145 |
+
try {
|
146 |
+
const response = await fetch('benchmark_results.json');
|
147 |
+
allResults = await response.json();
|
148 |
+
|
149 |
+
displayModelGroups(allResults);
|
150 |
+
} catch (error) {
|
151 |
+
console.error('Error loading results:', error);
|
152 |
+
document.getElementById('modelsContainer').innerHTML =
|
153 |
+
'<div style="text-align: center; color: #999;">Error loading results</div>';
|
154 |
+
}
|
155 |
+
}
|
156 |
+
|
157 |
+
function displayModelGroups(results) {
|
158 |
+
// Group results by model
|
159 |
+
const modelGroups = {};
|
160 |
+
results.forEach(result => {
|
161 |
+
if (!modelGroups[result.model_id]) {
|
162 |
+
modelGroups[result.model_id] = {};
|
163 |
+
}
|
164 |
+
modelGroups[result.model_id][result.temperature] = result;
|
165 |
+
});
|
166 |
+
|
167 |
+
// Create HTML for each model group
|
168 |
+
const modelsHtml = Object.entries(modelGroups).map(([modelId, temps]) => {
|
169 |
+
// Check if at least one temperature has a successful result
|
170 |
+
const hasSuccess = Object.values(temps).some(t => t.success);
|
171 |
+
if (!hasSuccess) return ''; // Skip models with no successful results
|
172 |
+
|
173 |
+
const temperatureCards = [0, 0.5, 1].map(temp => {
|
174 |
+
const result = temps[temp];
|
175 |
+
if (!result || !result.success) {
|
176 |
+
return `
|
177 |
+
<div class="temp-card">
|
178 |
+
<div class="temp-header">Temperature ${temp}</div>
|
179 |
+
<div class="svg-preview">
|
180 |
+
<div class="no-svg">Failed</div>
|
181 |
+
</div>
|
182 |
+
</div>
|
183 |
+
`;
|
184 |
+
}
|
185 |
+
return `
|
186 |
+
<div class="temp-card">
|
187 |
+
<div class="temp-header">Temperature ${temp}</div>
|
188 |
+
<div class="svg-preview">${result.svg_content}</div>
|
189 |
+
</div>
|
190 |
+
`;
|
191 |
+
}).join('');
|
192 |
+
|
193 |
+
return `
|
194 |
+
<div class="model-group">
|
195 |
+
<div class="model-group-header">${modelId}</div>
|
196 |
+
<div class="temperature-grid">
|
197 |
+
${temperatureCards}
|
198 |
+
</div>
|
199 |
+
</div>
|
200 |
+
`;
|
201 |
+
}).filter(html => html !== '').join('');
|
202 |
+
|
203 |
+
document.getElementById('modelsContainer').innerHTML = modelsHtml ||
|
204 |
+
'<div style="text-align: center; color: #999;">No successful results to display</div>';
|
205 |
+
}
|
206 |
+
|
207 |
+
// Load results when page loads
|
208 |
+
loadResults();
|
209 |
+
</script>
|
210 |
+
</body>
|
211 |
+
</html>
|
models.json
ADDED
@@ -0,0 +1,1920 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"object": "list",
|
3 |
+
"data": [
|
4 |
+
{
|
5 |
+
"id": "Qwen/Qwen3-Coder-480B-A35B-Instruct",
|
6 |
+
"object": "model",
|
7 |
+
"created": 1753195958,
|
8 |
+
"owned_by": "Qwen",
|
9 |
+
"providers": [
|
10 |
+
{
|
11 |
+
"provider": "novita",
|
12 |
+
"status": "live",
|
13 |
+
"supports_tools": true,
|
14 |
+
"supports_structured_output": true
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"provider": "together",
|
18 |
+
"status": "live",
|
19 |
+
"supports_tools": false,
|
20 |
+
"supports_structured_output": true
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"provider": "hyperbolic",
|
24 |
+
"status": "live",
|
25 |
+
"supports_tools": true,
|
26 |
+
"supports_structured_output": false
|
27 |
+
}
|
28 |
+
]
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"id": "Qwen/Qwen3-235B-A22B-Instruct-2507",
|
32 |
+
"object": "model",
|
33 |
+
"created": 1753080416,
|
34 |
+
"owned_by": "Qwen",
|
35 |
+
"providers": [
|
36 |
+
{
|
37 |
+
"provider": "novita",
|
38 |
+
"status": "live",
|
39 |
+
"supports_tools": true,
|
40 |
+
"supports_structured_output": false
|
41 |
+
},
|
42 |
+
{
|
43 |
+
"provider": "fireworks-ai",
|
44 |
+
"status": "live",
|
45 |
+
"supports_tools": true,
|
46 |
+
"supports_structured_output": false
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"provider": "together",
|
50 |
+
"status": "live",
|
51 |
+
"supports_tools": true,
|
52 |
+
"supports_structured_output": true
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"provider": "hyperbolic",
|
56 |
+
"status": "live",
|
57 |
+
"supports_tools": true,
|
58 |
+
"supports_structured_output": false
|
59 |
+
}
|
60 |
+
]
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"id": "moonshotai/Kimi-K2-Instruct",
|
64 |
+
"object": "model",
|
65 |
+
"created": 1752195312,
|
66 |
+
"owned_by": "moonshotai",
|
67 |
+
"providers": [
|
68 |
+
{
|
69 |
+
"provider": "novita",
|
70 |
+
"status": "live",
|
71 |
+
"supports_tools": true,
|
72 |
+
"supports_structured_output": false,
|
73 |
+
"context_length": 163840,
|
74 |
+
"pricing": {
|
75 |
+
"input": 0.57,
|
76 |
+
"output": 2.3
|
77 |
+
}
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"provider": "fireworks-ai",
|
81 |
+
"status": "live",
|
82 |
+
"supports_tools": true,
|
83 |
+
"supports_structured_output": false
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"provider": "together",
|
87 |
+
"status": "live",
|
88 |
+
"supports_tools": true,
|
89 |
+
"supports_structured_output": true,
|
90 |
+
"context_length": 131072,
|
91 |
+
"pricing": {
|
92 |
+
"input": 1,
|
93 |
+
"output": 3
|
94 |
+
}
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"provider": "groq",
|
98 |
+
"status": "live",
|
99 |
+
"supports_tools": true,
|
100 |
+
"supports_structured_output": false,
|
101 |
+
"context_length": 131072,
|
102 |
+
"pricing": {
|
103 |
+
"input": 1,
|
104 |
+
"output": 3
|
105 |
+
}
|
106 |
+
}
|
107 |
+
]
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"id": "Qwen/Qwen3-235B-A22B-Thinking-2507",
|
111 |
+
"object": "model",
|
112 |
+
"created": 1753419545,
|
113 |
+
"owned_by": "Qwen",
|
114 |
+
"providers": [
|
115 |
+
{
|
116 |
+
"provider": "novita",
|
117 |
+
"status": "live",
|
118 |
+
"supports_tools": true,
|
119 |
+
"supports_structured_output": false
|
120 |
+
}
|
121 |
+
]
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"id": "zai-org/GLM-4.5",
|
125 |
+
"object": "model",
|
126 |
+
"created": 1752981936,
|
127 |
+
"owned_by": "zai-org",
|
128 |
+
"providers": [
|
129 |
+
{
|
130 |
+
"provider": "novita",
|
131 |
+
"status": "live",
|
132 |
+
"supports_tools": true,
|
133 |
+
"supports_structured_output": false
|
134 |
+
}
|
135 |
+
]
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"id": "Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8",
|
139 |
+
"object": "model",
|
140 |
+
"created": 1753197829,
|
141 |
+
"owned_by": "Qwen",
|
142 |
+
"providers": [
|
143 |
+
{
|
144 |
+
"provider": "together",
|
145 |
+
"status": "live",
|
146 |
+
"supports_tools": false,
|
147 |
+
"supports_structured_output": true
|
148 |
+
}
|
149 |
+
]
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"id": "HuggingFaceTB/SmolLM3-3B",
|
153 |
+
"object": "model",
|
154 |
+
"created": 1751969505,
|
155 |
+
"owned_by": "HuggingFaceTB",
|
156 |
+
"providers": [
|
157 |
+
{
|
158 |
+
"provider": "hf-inference",
|
159 |
+
"status": "live"
|
160 |
+
}
|
161 |
+
]
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"id": "meta-llama/Llama-3.1-8B-Instruct",
|
165 |
+
"object": "model",
|
166 |
+
"created": 1721292960,
|
167 |
+
"owned_by": "meta-llama",
|
168 |
+
"providers": [
|
169 |
+
{
|
170 |
+
"provider": "novita",
|
171 |
+
"status": "live",
|
172 |
+
"supports_tools": false,
|
173 |
+
"supports_structured_output": false
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"provider": "nebius",
|
177 |
+
"status": "live",
|
178 |
+
"supports_tools": true,
|
179 |
+
"supports_structured_output": true
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"provider": "featherless-ai",
|
183 |
+
"status": "live"
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"provider": "fireworks-ai",
|
187 |
+
"status": "live",
|
188 |
+
"supports_tools": false,
|
189 |
+
"supports_structured_output": false
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"provider": "hyperbolic",
|
193 |
+
"status": "staging",
|
194 |
+
"supports_tools": false,
|
195 |
+
"supports_structured_output": false
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"provider": "nscale",
|
199 |
+
"status": "live",
|
200 |
+
"supports_tools": false,
|
201 |
+
"supports_structured_output": true
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"provider": "sambanova",
|
205 |
+
"status": "live",
|
206 |
+
"supports_tools": true,
|
207 |
+
"supports_structured_output": true
|
208 |
+
}
|
209 |
+
]
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"id": "deepseek-ai/DeepSeek-R1",
|
213 |
+
"object": "model",
|
214 |
+
"created": 1737344767,
|
215 |
+
"owned_by": "deepseek-ai",
|
216 |
+
"providers": [
|
217 |
+
{
|
218 |
+
"provider": "novita",
|
219 |
+
"status": "live",
|
220 |
+
"supports_tools": true,
|
221 |
+
"supports_structured_output": false
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"provider": "nebius",
|
225 |
+
"status": "live",
|
226 |
+
"supports_tools": false,
|
227 |
+
"supports_structured_output": false
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"provider": "fireworks-ai",
|
231 |
+
"status": "live",
|
232 |
+
"supports_tools": false,
|
233 |
+
"supports_structured_output": false
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"provider": "together",
|
237 |
+
"status": "live",
|
238 |
+
"supports_tools": false,
|
239 |
+
"supports_structured_output": true
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"provider": "hyperbolic",
|
243 |
+
"status": "live",
|
244 |
+
"supports_tools": false,
|
245 |
+
"supports_structured_output": false
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"provider": "sambanova",
|
249 |
+
"status": "live",
|
250 |
+
"supports_tools": false,
|
251 |
+
"supports_structured_output": false
|
252 |
+
}
|
253 |
+
]
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"id": "zai-org/GLM-4.1V-9B-Thinking",
|
257 |
+
"object": "model",
|
258 |
+
"created": 1751120650,
|
259 |
+
"owned_by": "zai-org",
|
260 |
+
"providers": [
|
261 |
+
{
|
262 |
+
"provider": "novita",
|
263 |
+
"status": "live",
|
264 |
+
"supports_tools": false,
|
265 |
+
"supports_structured_output": false
|
266 |
+
}
|
267 |
+
]
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"id": "Qwen/Qwen3-235B-A22B",
|
271 |
+
"object": "model",
|
272 |
+
"created": 1745726026,
|
273 |
+
"owned_by": "Qwen",
|
274 |
+
"providers": [
|
275 |
+
{
|
276 |
+
"provider": "cerebras",
|
277 |
+
"status": "live",
|
278 |
+
"supports_tools": false,
|
279 |
+
"supports_structured_output": false
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"provider": "novita",
|
283 |
+
"status": "live",
|
284 |
+
"supports_tools": false,
|
285 |
+
"supports_structured_output": false
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"provider": "nebius",
|
289 |
+
"status": "live",
|
290 |
+
"supports_tools": true,
|
291 |
+
"supports_structured_output": true
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"provider": "fireworks-ai",
|
295 |
+
"status": "live",
|
296 |
+
"supports_tools": true,
|
297 |
+
"supports_structured_output": false
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"provider": "together",
|
301 |
+
"status": "live",
|
302 |
+
"supports_tools": true,
|
303 |
+
"supports_structured_output": true
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"provider": "nscale",
|
307 |
+
"status": "live",
|
308 |
+
"supports_tools": false,
|
309 |
+
"supports_structured_output": true
|
310 |
+
}
|
311 |
+
]
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"id": "deepseek-ai/DeepSeek-R1-0528",
|
315 |
+
"object": "model",
|
316 |
+
"created": 1748425602,
|
317 |
+
"owned_by": "deepseek-ai",
|
318 |
+
"providers": [
|
319 |
+
{
|
320 |
+
"provider": "novita",
|
321 |
+
"status": "live",
|
322 |
+
"supports_tools": true,
|
323 |
+
"supports_structured_output": false
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"provider": "nebius",
|
327 |
+
"status": "live",
|
328 |
+
"supports_tools": true,
|
329 |
+
"supports_structured_output": true
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"provider": "fireworks-ai",
|
333 |
+
"status": "live",
|
334 |
+
"supports_tools": true,
|
335 |
+
"supports_structured_output": false
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"provider": "together",
|
339 |
+
"status": "live",
|
340 |
+
"supports_tools": false,
|
341 |
+
"supports_structured_output": true
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"provider": "hyperbolic",
|
345 |
+
"status": "live",
|
346 |
+
"supports_tools": false,
|
347 |
+
"supports_structured_output": false
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"provider": "sambanova",
|
351 |
+
"status": "live",
|
352 |
+
"supports_tools": false,
|
353 |
+
"supports_structured_output": false
|
354 |
+
}
|
355 |
+
]
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"id": "meta-llama/Llama-3.2-3B-Instruct",
|
359 |
+
"object": "model",
|
360 |
+
"created": 1726672760,
|
361 |
+
"owned_by": "meta-llama",
|
362 |
+
"providers": [
|
363 |
+
{
|
364 |
+
"provider": "novita",
|
365 |
+
"status": "live",
|
366 |
+
"supports_tools": true,
|
367 |
+
"supports_structured_output": false
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"provider": "together",
|
371 |
+
"status": "live",
|
372 |
+
"supports_tools": false,
|
373 |
+
"supports_structured_output": true
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"provider": "hyperbolic",
|
377 |
+
"status": "live",
|
378 |
+
"supports_tools": false,
|
379 |
+
"supports_structured_output": false
|
380 |
+
}
|
381 |
+
]
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"id": "Qwen/Qwen3-4B",
|
385 |
+
"object": "model",
|
386 |
+
"created": 1745725289,
|
387 |
+
"owned_by": "Qwen",
|
388 |
+
"providers": [
|
389 |
+
{
|
390 |
+
"provider": "nebius",
|
391 |
+
"status": "live",
|
392 |
+
"supports_tools": true,
|
393 |
+
"supports_structured_output": true
|
394 |
+
}
|
395 |
+
]
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"id": "meta-llama/Meta-Llama-3-8B-Instruct",
|
399 |
+
"object": "model",
|
400 |
+
"created": 1713346512,
|
401 |
+
"owned_by": "meta-llama",
|
402 |
+
"providers": [
|
403 |
+
{
|
404 |
+
"provider": "novita",
|
405 |
+
"status": "live",
|
406 |
+
"supports_tools": false,
|
407 |
+
"supports_structured_output": false
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"provider": "featherless-ai",
|
411 |
+
"status": "live"
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"provider": "groq",
|
415 |
+
"status": "live",
|
416 |
+
"supports_tools": true,
|
417 |
+
"supports_structured_output": false
|
418 |
+
}
|
419 |
+
]
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"id": "Qwen/Qwen3-32B",
|
423 |
+
"object": "model",
|
424 |
+
"created": 1745725979,
|
425 |
+
"owned_by": "Qwen",
|
426 |
+
"providers": [
|
427 |
+
{
|
428 |
+
"provider": "cerebras",
|
429 |
+
"status": "live",
|
430 |
+
"supports_tools": false,
|
431 |
+
"supports_structured_output": false
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"provider": "novita",
|
435 |
+
"status": "live",
|
436 |
+
"supports_tools": false,
|
437 |
+
"supports_structured_output": false
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"provider": "nebius",
|
441 |
+
"status": "live",
|
442 |
+
"supports_tools": true,
|
443 |
+
"supports_structured_output": true
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"provider": "featherless-ai",
|
447 |
+
"status": "live"
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"provider": "groq",
|
451 |
+
"status": "live",
|
452 |
+
"supports_tools": true,
|
453 |
+
"supports_structured_output": false
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"provider": "nscale",
|
457 |
+
"status": "live",
|
458 |
+
"supports_tools": false,
|
459 |
+
"supports_structured_output": true
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"provider": "sambanova",
|
463 |
+
"status": "live",
|
464 |
+
"supports_tools": false,
|
465 |
+
"supports_structured_output": false
|
466 |
+
}
|
467 |
+
]
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"id": "deepseek-ai/DeepSeek-R1-0528-Qwen3-8B",
|
471 |
+
"object": "model",
|
472 |
+
"created": 1748516867,
|
473 |
+
"owned_by": "deepseek-ai",
|
474 |
+
"providers": [
|
475 |
+
{
|
476 |
+
"provider": "novita",
|
477 |
+
"status": "live",
|
478 |
+
"supports_tools": false,
|
479 |
+
"supports_structured_output": false
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"provider": "featherless-ai",
|
483 |
+
"status": "live"
|
484 |
+
}
|
485 |
+
]
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"id": "Qwen/Qwen2.5-VL-7B-Instruct",
|
489 |
+
"object": "model",
|
490 |
+
"created": 1737883597,
|
491 |
+
"owned_by": "Qwen",
|
492 |
+
"providers": [
|
493 |
+
{
|
494 |
+
"provider": "hyperbolic",
|
495 |
+
"status": "live",
|
496 |
+
"supports_tools": false,
|
497 |
+
"supports_structured_output": false
|
498 |
+
}
|
499 |
+
]
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"id": "Qwen/Qwen3-30B-A3B",
|
503 |
+
"object": "model",
|
504 |
+
"created": 1745725385,
|
505 |
+
"owned_by": "Qwen",
|
506 |
+
"providers": [
|
507 |
+
{
|
508 |
+
"provider": "novita",
|
509 |
+
"status": "live",
|
510 |
+
"supports_tools": false,
|
511 |
+
"supports_structured_output": false
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"provider": "nebius",
|
515 |
+
"status": "live",
|
516 |
+
"supports_tools": true,
|
517 |
+
"supports_structured_output": true
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"provider": "fireworks-ai",
|
521 |
+
"status": "live",
|
522 |
+
"supports_tools": true,
|
523 |
+
"supports_structured_output": false
|
524 |
+
}
|
525 |
+
]
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"id": "meta-llama/Llama-4-Scout-17B-16E-Instruct",
|
529 |
+
"object": "model",
|
530 |
+
"created": 1743600857,
|
531 |
+
"owned_by": "meta-llama",
|
532 |
+
"providers": [
|
533 |
+
{
|
534 |
+
"provider": "cerebras",
|
535 |
+
"status": "live",
|
536 |
+
"supports_tools": true,
|
537 |
+
"supports_structured_output": false
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"provider": "novita",
|
541 |
+
"status": "live",
|
542 |
+
"supports_tools": false,
|
543 |
+
"supports_structured_output": false
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"provider": "fireworks-ai",
|
547 |
+
"status": "live",
|
548 |
+
"supports_tools": true,
|
549 |
+
"supports_structured_output": false
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"provider": "together",
|
553 |
+
"status": "live",
|
554 |
+
"supports_tools": true,
|
555 |
+
"supports_structured_output": true
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"provider": "groq",
|
559 |
+
"status": "live",
|
560 |
+
"supports_tools": true,
|
561 |
+
"supports_structured_output": false
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"provider": "nscale",
|
565 |
+
"status": "live",
|
566 |
+
"supports_tools": false,
|
567 |
+
"supports_structured_output": false
|
568 |
+
}
|
569 |
+
]
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"id": "Qwen/Qwen3-8B",
|
573 |
+
"object": "model",
|
574 |
+
"created": 1745725341,
|
575 |
+
"owned_by": "Qwen",
|
576 |
+
"providers": [
|
577 |
+
{
|
578 |
+
"provider": "featherless-ai",
|
579 |
+
"status": "live"
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"provider": "nscale",
|
583 |
+
"status": "live",
|
584 |
+
"supports_tools": false,
|
585 |
+
"supports_structured_output": true
|
586 |
+
}
|
587 |
+
]
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"id": "google/gemma-3-27b-it",
|
591 |
+
"object": "model",
|
592 |
+
"created": 1740856219,
|
593 |
+
"owned_by": "google",
|
594 |
+
"providers": [
|
595 |
+
{
|
596 |
+
"provider": "nebius",
|
597 |
+
"status": "live",
|
598 |
+
"supports_tools": false,
|
599 |
+
"supports_structured_output": true
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"provider": "featherless-ai",
|
603 |
+
"status": "live"
|
604 |
+
}
|
605 |
+
]
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"id": "meta-llama/Llama-3.3-70B-Instruct",
|
609 |
+
"object": "model",
|
610 |
+
"created": 1732637327,
|
611 |
+
"owned_by": "meta-llama",
|
612 |
+
"providers": [
|
613 |
+
{
|
614 |
+
"provider": "cerebras",
|
615 |
+
"status": "live",
|
616 |
+
"supports_tools": true,
|
617 |
+
"supports_structured_output": false
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"provider": "novita",
|
621 |
+
"status": "live",
|
622 |
+
"supports_tools": true,
|
623 |
+
"supports_structured_output": false
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"provider": "nebius",
|
627 |
+
"status": "live",
|
628 |
+
"supports_tools": true,
|
629 |
+
"supports_structured_output": true
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"provider": "fireworks-ai",
|
633 |
+
"status": "live",
|
634 |
+
"supports_tools": false,
|
635 |
+
"supports_structured_output": false
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"provider": "together",
|
639 |
+
"status": "live",
|
640 |
+
"supports_tools": true,
|
641 |
+
"supports_structured_output": true
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"provider": "groq",
|
645 |
+
"status": "live",
|
646 |
+
"supports_tools": true,
|
647 |
+
"supports_structured_output": false
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"provider": "hyperbolic",
|
651 |
+
"status": "live",
|
652 |
+
"supports_tools": true,
|
653 |
+
"supports_structured_output": false
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"provider": "nscale",
|
657 |
+
"status": "live",
|
658 |
+
"supports_tools": false,
|
659 |
+
"supports_structured_output": true
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"provider": "sambanova",
|
663 |
+
"status": "live",
|
664 |
+
"supports_tools": true,
|
665 |
+
"supports_structured_output": true
|
666 |
+
}
|
667 |
+
]
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"id": "Qwen/Qwen2.5-Coder-32B-Instruct",
|
671 |
+
"object": "model",
|
672 |
+
"created": 1730879390,
|
673 |
+
"owned_by": "Qwen",
|
674 |
+
"providers": [
|
675 |
+
{
|
676 |
+
"provider": "nebius",
|
677 |
+
"status": "live",
|
678 |
+
"supports_tools": false,
|
679 |
+
"supports_structured_output": false
|
680 |
+
},
|
681 |
+
{
|
682 |
+
"provider": "featherless-ai",
|
683 |
+
"status": "live"
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"provider": "together",
|
687 |
+
"status": "live",
|
688 |
+
"supports_tools": true,
|
689 |
+
"supports_structured_output": true
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"provider": "hyperbolic",
|
693 |
+
"status": "live",
|
694 |
+
"supports_tools": false,
|
695 |
+
"supports_structured_output": false
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"provider": "nscale",
|
699 |
+
"status": "live",
|
700 |
+
"supports_tools": false,
|
701 |
+
"supports_structured_output": true
|
702 |
+
}
|
703 |
+
]
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"id": "Qwen/Qwen3-14B",
|
707 |
+
"object": "model",
|
708 |
+
"created": 1745725365,
|
709 |
+
"owned_by": "Qwen",
|
710 |
+
"providers": [
|
711 |
+
{
|
712 |
+
"provider": "nebius",
|
713 |
+
"status": "live",
|
714 |
+
"supports_tools": true,
|
715 |
+
"supports_structured_output": true
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"provider": "featherless-ai",
|
719 |
+
"status": "live"
|
720 |
+
}
|
721 |
+
]
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"id": "meta-llama/Llama-3.2-1B-Instruct",
|
725 |
+
"object": "model",
|
726 |
+
"created": 1726672367,
|
727 |
+
"owned_by": "meta-llama",
|
728 |
+
"providers": [
|
729 |
+
{
|
730 |
+
"provider": "novita",
|
731 |
+
"status": "live",
|
732 |
+
"supports_tools": false,
|
733 |
+
"supports_structured_output": false
|
734 |
+
}
|
735 |
+
]
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"id": "deepseek-ai/DeepSeek-V3-0324",
|
739 |
+
"object": "model",
|
740 |
+
"created": 1742808502,
|
741 |
+
"owned_by": "deepseek-ai",
|
742 |
+
"providers": [
|
743 |
+
{
|
744 |
+
"provider": "novita",
|
745 |
+
"status": "live",
|
746 |
+
"supports_tools": true,
|
747 |
+
"supports_structured_output": false
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"provider": "nebius",
|
751 |
+
"status": "live",
|
752 |
+
"supports_tools": true,
|
753 |
+
"supports_structured_output": true
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"provider": "fireworks-ai",
|
757 |
+
"status": "live",
|
758 |
+
"supports_tools": true,
|
759 |
+
"supports_structured_output": false
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"provider": "together",
|
763 |
+
"status": "live",
|
764 |
+
"supports_tools": true,
|
765 |
+
"supports_structured_output": true
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"provider": "hyperbolic",
|
769 |
+
"status": "live",
|
770 |
+
"supports_tools": true,
|
771 |
+
"supports_structured_output": false
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"provider": "sambanova",
|
775 |
+
"status": "live",
|
776 |
+
"supports_tools": true,
|
777 |
+
"supports_structured_output": true
|
778 |
+
}
|
779 |
+
]
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"id": "Qwen/Qwen2.5-Coder-7B-Instruct",
|
783 |
+
"object": "model",
|
784 |
+
"created": 1726580329,
|
785 |
+
"owned_by": "Qwen",
|
786 |
+
"providers": [
|
787 |
+
{
|
788 |
+
"provider": "featherless-ai",
|
789 |
+
"status": "live"
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"provider": "nscale",
|
793 |
+
"status": "live",
|
794 |
+
"supports_tools": false,
|
795 |
+
"supports_structured_output": true
|
796 |
+
}
|
797 |
+
]
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
|
801 |
+
"object": "model",
|
802 |
+
"created": 1737363858,
|
803 |
+
"owned_by": "deepseek-ai",
|
804 |
+
"providers": [
|
805 |
+
{
|
806 |
+
"provider": "featherless-ai",
|
807 |
+
"status": "live"
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"provider": "nscale",
|
811 |
+
"status": "live",
|
812 |
+
"supports_tools": false,
|
813 |
+
"supports_structured_output": false
|
814 |
+
}
|
815 |
+
]
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct",
|
819 |
+
"object": "model",
|
820 |
+
"created": 1743545840,
|
821 |
+
"owned_by": "meta-llama",
|
822 |
+
"providers": [
|
823 |
+
{
|
824 |
+
"provider": "fireworks-ai",
|
825 |
+
"status": "live",
|
826 |
+
"supports_tools": true,
|
827 |
+
"supports_structured_output": false
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"provider": "groq",
|
831 |
+
"status": "live",
|
832 |
+
"supports_tools": true,
|
833 |
+
"supports_structured_output": false
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"provider": "sambanova",
|
837 |
+
"status": "live",
|
838 |
+
"supports_tools": true,
|
839 |
+
"supports_structured_output": true
|
840 |
+
}
|
841 |
+
]
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"id": "deepseek-ai/DeepSeek-V3",
|
845 |
+
"object": "model",
|
846 |
+
"created": 1735131143,
|
847 |
+
"owned_by": "deepseek-ai",
|
848 |
+
"providers": [
|
849 |
+
{
|
850 |
+
"provider": "novita",
|
851 |
+
"status": "live",
|
852 |
+
"supports_tools": true,
|
853 |
+
"supports_structured_output": false
|
854 |
+
},
|
855 |
+
{
|
856 |
+
"provider": "nebius",
|
857 |
+
"status": "live",
|
858 |
+
"supports_tools": false,
|
859 |
+
"supports_structured_output": true
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"provider": "fireworks-ai",
|
863 |
+
"status": "live",
|
864 |
+
"supports_tools": true,
|
865 |
+
"supports_structured_output": false
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"provider": "together",
|
869 |
+
"status": "live",
|
870 |
+
"supports_tools": true,
|
871 |
+
"supports_structured_output": false
|
872 |
+
}
|
873 |
+
]
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"id": "MiniMaxAI/MiniMax-M1-80k",
|
877 |
+
"object": "model",
|
878 |
+
"created": 1749802874,
|
879 |
+
"owned_by": "MiniMaxAI",
|
880 |
+
"providers": [
|
881 |
+
{
|
882 |
+
"provider": "novita",
|
883 |
+
"status": "live",
|
884 |
+
"supports_tools": false,
|
885 |
+
"supports_structured_output": false
|
886 |
+
}
|
887 |
+
]
|
888 |
+
},
|
889 |
+
{
|
890 |
+
"id": "Qwen/Qwen2.5-7B-Instruct",
|
891 |
+
"object": "model",
|
892 |
+
"created": 1726487740,
|
893 |
+
"owned_by": "Qwen",
|
894 |
+
"providers": [
|
895 |
+
{
|
896 |
+
"provider": "featherless-ai",
|
897 |
+
"status": "live"
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"provider": "together",
|
901 |
+
"status": "live",
|
902 |
+
"supports_tools": true,
|
903 |
+
"supports_structured_output": false
|
904 |
+
}
|
905 |
+
]
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"id": "microsoft/phi-4",
|
909 |
+
"object": "model",
|
910 |
+
"created": 1733917649,
|
911 |
+
"owned_by": "microsoft",
|
912 |
+
"providers": [
|
913 |
+
{
|
914 |
+
"provider": "nebius",
|
915 |
+
"status": "live",
|
916 |
+
"supports_tools": false,
|
917 |
+
"supports_structured_output": true
|
918 |
+
}
|
919 |
+
]
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"id": "Qwen/Qwen2.5-72B-Instruct",
|
923 |
+
"object": "model",
|
924 |
+
"created": 1726487791,
|
925 |
+
"owned_by": "Qwen",
|
926 |
+
"providers": [
|
927 |
+
{
|
928 |
+
"provider": "novita",
|
929 |
+
"status": "live",
|
930 |
+
"supports_tools": true,
|
931 |
+
"supports_structured_output": true
|
932 |
+
},
|
933 |
+
{
|
934 |
+
"provider": "nebius",
|
935 |
+
"status": "live",
|
936 |
+
"supports_tools": true,
|
937 |
+
"supports_structured_output": true
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"provider": "featherless-ai",
|
941 |
+
"status": "live"
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"provider": "together",
|
945 |
+
"status": "live",
|
946 |
+
"supports_tools": true,
|
947 |
+
"supports_structured_output": true
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"provider": "hyperbolic",
|
951 |
+
"status": "live",
|
952 |
+
"supports_tools": false,
|
953 |
+
"supports_structured_output": false
|
954 |
+
}
|
955 |
+
]
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"id": "CohereLabs/c4ai-command-r-plus",
|
959 |
+
"object": "model",
|
960 |
+
"created": 1712150824,
|
961 |
+
"owned_by": "CohereLabs",
|
962 |
+
"providers": [
|
963 |
+
{
|
964 |
+
"provider": "cohere",
|
965 |
+
"status": "live",
|
966 |
+
"supports_tools": true,
|
967 |
+
"supports_structured_output": false
|
968 |
+
}
|
969 |
+
]
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
|
973 |
+
"object": "model",
|
974 |
+
"created": 1737364707,
|
975 |
+
"owned_by": "deepseek-ai",
|
976 |
+
"providers": [
|
977 |
+
{
|
978 |
+
"provider": "novita",
|
979 |
+
"status": "live",
|
980 |
+
"supports_tools": false,
|
981 |
+
"supports_structured_output": true
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"provider": "featherless-ai",
|
985 |
+
"status": "live"
|
986 |
+
},
|
987 |
+
{
|
988 |
+
"provider": "nscale",
|
989 |
+
"status": "live",
|
990 |
+
"supports_tools": false,
|
991 |
+
"supports_structured_output": true
|
992 |
+
}
|
993 |
+
]
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"id": "Sao10K/L3-8B-Stheno-v3.2",
|
997 |
+
"object": "model",
|
998 |
+
"created": 1717583457,
|
999 |
+
"owned_by": "Sao10K",
|
1000 |
+
"providers": [
|
1001 |
+
{
|
1002 |
+
"provider": "novita",
|
1003 |
+
"status": "live",
|
1004 |
+
"supports_tools": false,
|
1005 |
+
"supports_structured_output": false
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"provider": "featherless-ai",
|
1009 |
+
"status": "live"
|
1010 |
+
}
|
1011 |
+
]
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"id": "Qwen/QwQ-32B",
|
1015 |
+
"object": "model",
|
1016 |
+
"created": 1741184219,
|
1017 |
+
"owned_by": "Qwen",
|
1018 |
+
"providers": [
|
1019 |
+
{
|
1020 |
+
"provider": "nebius",
|
1021 |
+
"status": "live",
|
1022 |
+
"supports_tools": false,
|
1023 |
+
"supports_structured_output": true
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"provider": "featherless-ai",
|
1027 |
+
"status": "live"
|
1028 |
+
},
|
1029 |
+
{
|
1030 |
+
"provider": "hyperbolic",
|
1031 |
+
"status": "live",
|
1032 |
+
"supports_tools": false,
|
1033 |
+
"supports_structured_output": false
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"provider": "nscale",
|
1037 |
+
"status": "live",
|
1038 |
+
"supports_tools": false,
|
1039 |
+
"supports_structured_output": true
|
1040 |
+
}
|
1041 |
+
]
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"id": "zai-org/GLM-4-32B-0414",
|
1045 |
+
"object": "model",
|
1046 |
+
"created": 1744030421,
|
1047 |
+
"owned_by": "zai-org",
|
1048 |
+
"providers": [
|
1049 |
+
{
|
1050 |
+
"provider": "novita",
|
1051 |
+
"status": "live",
|
1052 |
+
"supports_tools": false,
|
1053 |
+
"supports_structured_output": true
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"provider": "featherless-ai",
|
1057 |
+
"status": "live"
|
1058 |
+
}
|
1059 |
+
]
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"id": "Qwen/Qwen2.5-VL-32B-Instruct",
|
1063 |
+
"object": "model",
|
1064 |
+
"created": 1742570595,
|
1065 |
+
"owned_by": "Qwen",
|
1066 |
+
"providers": [
|
1067 |
+
{
|
1068 |
+
"provider": "fireworks-ai",
|
1069 |
+
"status": "live",
|
1070 |
+
"supports_tools": false,
|
1071 |
+
"supports_structured_output": false
|
1072 |
+
}
|
1073 |
+
]
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"id": "CohereLabs/aya-expanse-32b",
|
1077 |
+
"object": "model",
|
1078 |
+
"created": 1729665764,
|
1079 |
+
"owned_by": "CohereLabs",
|
1080 |
+
"providers": [
|
1081 |
+
{
|
1082 |
+
"provider": "cohere",
|
1083 |
+
"status": "live",
|
1084 |
+
"supports_tools": false,
|
1085 |
+
"supports_structured_output": false
|
1086 |
+
}
|
1087 |
+
]
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"id": "nvidia/Llama-3_3-Nemotron-Super-49B-v1",
|
1091 |
+
"object": "model",
|
1092 |
+
"created": 1742089188,
|
1093 |
+
"owned_by": "nvidia",
|
1094 |
+
"providers": [
|
1095 |
+
{
|
1096 |
+
"provider": "nebius",
|
1097 |
+
"status": "live",
|
1098 |
+
"supports_tools": false,
|
1099 |
+
"supports_structured_output": false
|
1100 |
+
}
|
1101 |
+
]
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"id": "baidu/ERNIE-4.5-21B-A3B-PT",
|
1105 |
+
"object": "model",
|
1106 |
+
"created": 1751091210,
|
1107 |
+
"owned_by": "baidu",
|
1108 |
+
"providers": [
|
1109 |
+
{
|
1110 |
+
"provider": "novita",
|
1111 |
+
"status": "live",
|
1112 |
+
"supports_tools": false,
|
1113 |
+
"supports_structured_output": false
|
1114 |
+
}
|
1115 |
+
]
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"id": "meta-llama/Llama-3.2-11B-Vision-Instruct",
|
1119 |
+
"object": "model",
|
1120 |
+
"created": 1726678048,
|
1121 |
+
"owned_by": "meta-llama",
|
1122 |
+
"providers": [
|
1123 |
+
{
|
1124 |
+
"provider": "hf-inference",
|
1125 |
+
"status": "live",
|
1126 |
+
"supports_tools": true,
|
1127 |
+
"supports_structured_output": false
|
1128 |
+
}
|
1129 |
+
]
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
|
1133 |
+
"object": "model",
|
1134 |
+
"created": 1737364574,
|
1135 |
+
"owned_by": "deepseek-ai",
|
1136 |
+
"providers": [
|
1137 |
+
{
|
1138 |
+
"provider": "featherless-ai",
|
1139 |
+
"status": "live"
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"provider": "nscale",
|
1143 |
+
"status": "live",
|
1144 |
+
"supports_tools": false,
|
1145 |
+
"supports_structured_output": false
|
1146 |
+
}
|
1147 |
+
]
|
1148 |
+
},
|
1149 |
+
{
|
1150 |
+
"id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
|
1151 |
+
"object": "model",
|
1152 |
+
"created": 1737364740,
|
1153 |
+
"owned_by": "deepseek-ai",
|
1154 |
+
"providers": [
|
1155 |
+
{
|
1156 |
+
"provider": "novita",
|
1157 |
+
"status": "live",
|
1158 |
+
"supports_tools": false,
|
1159 |
+
"supports_structured_output": true
|
1160 |
+
},
|
1161 |
+
{
|
1162 |
+
"provider": "nscale",
|
1163 |
+
"status": "live",
|
1164 |
+
"supports_tools": false,
|
1165 |
+
"supports_structured_output": true
|
1166 |
+
}
|
1167 |
+
]
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"id": "Qwen/Qwen2.5-VL-72B-Instruct",
|
1171 |
+
"object": "model",
|
1172 |
+
"created": 1737951124,
|
1173 |
+
"owned_by": "Qwen",
|
1174 |
+
"providers": [
|
1175 |
+
{
|
1176 |
+
"provider": "nebius",
|
1177 |
+
"status": "live",
|
1178 |
+
"supports_tools": false,
|
1179 |
+
"supports_structured_output": true
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"provider": "hyperbolic",
|
1183 |
+
"status": "live",
|
1184 |
+
"supports_tools": false,
|
1185 |
+
"supports_structured_output": false
|
1186 |
+
}
|
1187 |
+
]
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"id": "Qwen/QwQ-32B-Preview",
|
1191 |
+
"object": "model",
|
1192 |
+
"created": 1732722655,
|
1193 |
+
"owned_by": "Qwen",
|
1194 |
+
"providers": [
|
1195 |
+
{
|
1196 |
+
"provider": "featherless-ai",
|
1197 |
+
"status": "live"
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"provider": "together",
|
1201 |
+
"status": "live",
|
1202 |
+
"supports_tools": true,
|
1203 |
+
"supports_structured_output": true
|
1204 |
+
}
|
1205 |
+
]
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"id": "Sao10K/L3-8B-Lunaris-v1",
|
1209 |
+
"object": "model",
|
1210 |
+
"created": 1719362412,
|
1211 |
+
"owned_by": "Sao10K",
|
1212 |
+
"providers": [
|
1213 |
+
{
|
1214 |
+
"provider": "novita",
|
1215 |
+
"status": "live",
|
1216 |
+
"supports_tools": false,
|
1217 |
+
"supports_structured_output": false
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"provider": "featherless-ai",
|
1221 |
+
"status": "live"
|
1222 |
+
}
|
1223 |
+
]
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"id": "google/gemma-2-9b-it",
|
1227 |
+
"object": "model",
|
1228 |
+
"created": 1719216341,
|
1229 |
+
"owned_by": "google",
|
1230 |
+
"providers": [
|
1231 |
+
{
|
1232 |
+
"provider": "nebius",
|
1233 |
+
"status": "live",
|
1234 |
+
"supports_tools": false,
|
1235 |
+
"supports_structured_output": true
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"provider": "featherless-ai",
|
1239 |
+
"status": "live"
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"provider": "groq",
|
1243 |
+
"status": "live",
|
1244 |
+
"supports_tools": true,
|
1245 |
+
"supports_structured_output": false
|
1246 |
+
}
|
1247 |
+
]
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
|
1251 |
+
"object": "model",
|
1252 |
+
"created": 1737364413,
|
1253 |
+
"owned_by": "deepseek-ai",
|
1254 |
+
"providers": [
|
1255 |
+
{
|
1256 |
+
"provider": "novita",
|
1257 |
+
"status": "live",
|
1258 |
+
"supports_tools": false,
|
1259 |
+
"supports_structured_output": false
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"provider": "nebius",
|
1263 |
+
"status": "live",
|
1264 |
+
"supports_tools": false,
|
1265 |
+
"supports_structured_output": true
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"provider": "groq",
|
1269 |
+
"status": "live",
|
1270 |
+
"supports_tools": true,
|
1271 |
+
"supports_structured_output": false
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"provider": "nscale",
|
1275 |
+
"status": "live",
|
1276 |
+
"supports_tools": false,
|
1277 |
+
"supports_structured_output": true
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"provider": "sambanova",
|
1281 |
+
"status": "live",
|
1282 |
+
"supports_tools": false,
|
1283 |
+
"supports_structured_output": false
|
1284 |
+
}
|
1285 |
+
]
|
1286 |
+
},
|
1287 |
+
{
|
1288 |
+
"id": "baidu/ERNIE-4.5-VL-28B-A3B-PT",
|
1289 |
+
"object": "model",
|
1290 |
+
"created": 1751089833,
|
1291 |
+
"owned_by": "baidu",
|
1292 |
+
"providers": [
|
1293 |
+
{
|
1294 |
+
"provider": "novita",
|
1295 |
+
"status": "live",
|
1296 |
+
"supports_tools": false,
|
1297 |
+
"supports_structured_output": false
|
1298 |
+
}
|
1299 |
+
]
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"id": "meta-llama/Llama-3.1-70B-Instruct",
|
1303 |
+
"object": "model",
|
1304 |
+
"created": 1721146066,
|
1305 |
+
"owned_by": "meta-llama",
|
1306 |
+
"providers": [
|
1307 |
+
{
|
1308 |
+
"provider": "nebius",
|
1309 |
+
"status": "live",
|
1310 |
+
"supports_tools": true,
|
1311 |
+
"supports_structured_output": true
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"provider": "fireworks-ai",
|
1315 |
+
"status": "live",
|
1316 |
+
"supports_tools": true,
|
1317 |
+
"supports_structured_output": false
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"provider": "hyperbolic",
|
1321 |
+
"status": "staging",
|
1322 |
+
"supports_tools": false,
|
1323 |
+
"supports_structured_output": false
|
1324 |
+
}
|
1325 |
+
]
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"id": "NousResearch/Hermes-3-Llama-3.1-405B",
|
1329 |
+
"object": "model",
|
1330 |
+
"created": 1723525073,
|
1331 |
+
"owned_by": "NousResearch",
|
1332 |
+
"providers": [
|
1333 |
+
{
|
1334 |
+
"provider": "nebius",
|
1335 |
+
"status": "live",
|
1336 |
+
"supports_tools": false,
|
1337 |
+
"supports_structured_output": true
|
1338 |
+
}
|
1339 |
+
]
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"id": "Qwen/Qwen2.5-Coder-3B-Instruct",
|
1343 |
+
"object": "model",
|
1344 |
+
"created": 1730879378,
|
1345 |
+
"owned_by": "Qwen",
|
1346 |
+
"providers": [
|
1347 |
+
{
|
1348 |
+
"provider": "nscale",
|
1349 |
+
"status": "live",
|
1350 |
+
"supports_tools": false,
|
1351 |
+
"supports_structured_output": true
|
1352 |
+
}
|
1353 |
+
]
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"id": "alpindale/WizardLM-2-8x22B",
|
1357 |
+
"object": "model",
|
1358 |
+
"created": 1713235019,
|
1359 |
+
"owned_by": "alpindale",
|
1360 |
+
"providers": [
|
1361 |
+
{
|
1362 |
+
"provider": "novita",
|
1363 |
+
"status": "live",
|
1364 |
+
"supports_tools": false,
|
1365 |
+
"supports_structured_output": false
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"provider": "featherless-ai",
|
1369 |
+
"status": "live"
|
1370 |
+
}
|
1371 |
+
]
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
|
1375 |
+
"object": "model",
|
1376 |
+
"created": 1743540422,
|
1377 |
+
"owned_by": "meta-llama",
|
1378 |
+
"providers": [
|
1379 |
+
{
|
1380 |
+
"provider": "novita",
|
1381 |
+
"status": "live",
|
1382 |
+
"supports_tools": false,
|
1383 |
+
"supports_structured_output": false
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"provider": "together",
|
1387 |
+
"status": "live",
|
1388 |
+
"supports_tools": true,
|
1389 |
+
"supports_structured_output": false
|
1390 |
+
}
|
1391 |
+
]
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"id": "google/gemma-2-2b-it",
|
1395 |
+
"object": "model",
|
1396 |
+
"created": 1721127099,
|
1397 |
+
"owned_by": "google",
|
1398 |
+
"providers": [
|
1399 |
+
{
|
1400 |
+
"provider": "nebius",
|
1401 |
+
"status": "live",
|
1402 |
+
"supports_tools": false,
|
1403 |
+
"supports_structured_output": true
|
1404 |
+
}
|
1405 |
+
]
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"id": "meta-llama/Meta-Llama-3-70B-Instruct",
|
1409 |
+
"object": "model",
|
1410 |
+
"created": 1713346494,
|
1411 |
+
"owned_by": "meta-llama",
|
1412 |
+
"providers": [
|
1413 |
+
{
|
1414 |
+
"provider": "novita",
|
1415 |
+
"status": "live",
|
1416 |
+
"supports_tools": false,
|
1417 |
+
"supports_structured_output": true
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"provider": "together",
|
1421 |
+
"status": "live",
|
1422 |
+
"supports_tools": false,
|
1423 |
+
"supports_structured_output": true
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"provider": "groq",
|
1427 |
+
"status": "live",
|
1428 |
+
"supports_tools": true,
|
1429 |
+
"supports_structured_output": false
|
1430 |
+
},
|
1431 |
+
{
|
1432 |
+
"provider": "hyperbolic",
|
1433 |
+
"status": "live",
|
1434 |
+
"supports_tools": false,
|
1435 |
+
"supports_structured_output": false
|
1436 |
+
}
|
1437 |
+
]
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"id": "Qwen/Qwen2.5-Coder-7B",
|
1441 |
+
"object": "model",
|
1442 |
+
"created": 1726487844,
|
1443 |
+
"owned_by": "Qwen",
|
1444 |
+
"providers": [
|
1445 |
+
{
|
1446 |
+
"provider": "nebius",
|
1447 |
+
"status": "live",
|
1448 |
+
"supports_tools": false,
|
1449 |
+
"supports_structured_output": true
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"provider": "featherless-ai",
|
1453 |
+
"status": "live"
|
1454 |
+
}
|
1455 |
+
]
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"id": "CohereLabs/aya-vision-8b",
|
1459 |
+
"object": "model",
|
1460 |
+
"created": 1740938806,
|
1461 |
+
"owned_by": "CohereLabs",
|
1462 |
+
"providers": [
|
1463 |
+
{
|
1464 |
+
"provider": "cohere",
|
1465 |
+
"status": "live",
|
1466 |
+
"supports_tools": true,
|
1467 |
+
"supports_structured_output": false
|
1468 |
+
}
|
1469 |
+
]
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"id": "Qwen/Qwen2.5-32B-Instruct",
|
1473 |
+
"object": "model",
|
1474 |
+
"created": 1726546675,
|
1475 |
+
"owned_by": "Qwen",
|
1476 |
+
"providers": [
|
1477 |
+
{
|
1478 |
+
"provider": "nebius",
|
1479 |
+
"status": "live",
|
1480 |
+
"supports_tools": true,
|
1481 |
+
"supports_structured_output": true
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"provider": "featherless-ai",
|
1485 |
+
"status": "live"
|
1486 |
+
}
|
1487 |
+
]
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"id": "CohereLabs/c4ai-command-r-v01",
|
1491 |
+
"object": "model",
|
1492 |
+
"created": 1710172254,
|
1493 |
+
"owned_by": "CohereLabs",
|
1494 |
+
"providers": [
|
1495 |
+
{
|
1496 |
+
"provider": "cohere",
|
1497 |
+
"status": "live",
|
1498 |
+
"supports_tools": true,
|
1499 |
+
"supports_structured_output": false
|
1500 |
+
}
|
1501 |
+
]
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"id": "nvidia/Llama-3_1-Nemotron-Ultra-253B-v1",
|
1505 |
+
"object": "model",
|
1506 |
+
"created": 1744051630,
|
1507 |
+
"owned_by": "nvidia",
|
1508 |
+
"providers": [
|
1509 |
+
{
|
1510 |
+
"provider": "nebius",
|
1511 |
+
"status": "live",
|
1512 |
+
"supports_tools": false,
|
1513 |
+
"supports_structured_output": true
|
1514 |
+
}
|
1515 |
+
]
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"id": "CohereLabs/c4ai-command-r-08-2024",
|
1519 |
+
"object": "model",
|
1520 |
+
"created": 1724053211,
|
1521 |
+
"owned_by": "CohereLabs",
|
1522 |
+
"providers": [
|
1523 |
+
{
|
1524 |
+
"provider": "cohere",
|
1525 |
+
"status": "live",
|
1526 |
+
"supports_tools": true,
|
1527 |
+
"supports_structured_output": false
|
1528 |
+
}
|
1529 |
+
]
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"id": "meta-llama/Llama-Guard-4-12B",
|
1533 |
+
"object": "model",
|
1534 |
+
"created": 1745407825,
|
1535 |
+
"owned_by": "meta-llama",
|
1536 |
+
"providers": [
|
1537 |
+
{
|
1538 |
+
"provider": "groq",
|
1539 |
+
"status": "live",
|
1540 |
+
"supports_tools": false,
|
1541 |
+
"supports_structured_output": false
|
1542 |
+
}
|
1543 |
+
]
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"id": "CohereLabs/aya-expanse-8b",
|
1547 |
+
"object": "model",
|
1548 |
+
"created": 1729665253,
|
1549 |
+
"owned_by": "CohereLabs",
|
1550 |
+
"providers": [
|
1551 |
+
{
|
1552 |
+
"provider": "cohere",
|
1553 |
+
"status": "live",
|
1554 |
+
"supports_tools": false,
|
1555 |
+
"supports_structured_output": false
|
1556 |
+
}
|
1557 |
+
]
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"id": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
|
1561 |
+
"object": "model",
|
1562 |
+
"created": 1704953687,
|
1563 |
+
"owned_by": "NousResearch",
|
1564 |
+
"providers": [
|
1565 |
+
{
|
1566 |
+
"provider": "together",
|
1567 |
+
"status": "live",
|
1568 |
+
"supports_tools": false,
|
1569 |
+
"supports_structured_output": false
|
1570 |
+
}
|
1571 |
+
]
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"id": "CohereLabs/c4ai-command-r7b-arabic-02-2025",
|
1575 |
+
"object": "model",
|
1576 |
+
"created": 1740643869,
|
1577 |
+
"owned_by": "CohereLabs",
|
1578 |
+
"providers": [
|
1579 |
+
{
|
1580 |
+
"provider": "cohere",
|
1581 |
+
"status": "live",
|
1582 |
+
"supports_tools": true,
|
1583 |
+
"supports_structured_output": false
|
1584 |
+
}
|
1585 |
+
]
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"id": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
|
1589 |
+
"object": "model",
|
1590 |
+
"created": 1728700633,
|
1591 |
+
"owned_by": "nvidia",
|
1592 |
+
"providers": [
|
1593 |
+
{
|
1594 |
+
"provider": "together",
|
1595 |
+
"status": "live",
|
1596 |
+
"supports_tools": true,
|
1597 |
+
"supports_structured_output": false
|
1598 |
+
}
|
1599 |
+
]
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"id": "CohereLabs/c4ai-command-a-03-2025",
|
1603 |
+
"object": "model",
|
1604 |
+
"created": 1741684205,
|
1605 |
+
"owned_by": "CohereLabs",
|
1606 |
+
"providers": [
|
1607 |
+
{
|
1608 |
+
"provider": "cohere",
|
1609 |
+
"status": "live",
|
1610 |
+
"supports_tools": true,
|
1611 |
+
"supports_structured_output": false
|
1612 |
+
}
|
1613 |
+
]
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"id": "Qwen/Qwen3-235B-A22B-FP8",
|
1617 |
+
"object": "model",
|
1618 |
+
"created": 1745850968,
|
1619 |
+
"owned_by": "Qwen",
|
1620 |
+
"providers": [
|
1621 |
+
{
|
1622 |
+
"provider": "together",
|
1623 |
+
"status": "live",
|
1624 |
+
"supports_tools": true,
|
1625 |
+
"supports_structured_output": true
|
1626 |
+
}
|
1627 |
+
]
|
1628 |
+
},
|
1629 |
+
{
|
1630 |
+
"id": "Qwen/Qwen2-VL-72B-Instruct",
|
1631 |
+
"object": "model",
|
1632 |
+
"created": 1726547134,
|
1633 |
+
"owned_by": "Qwen",
|
1634 |
+
"providers": [
|
1635 |
+
{
|
1636 |
+
"provider": "nebius",
|
1637 |
+
"status": "live",
|
1638 |
+
"supports_tools": false,
|
1639 |
+
"supports_structured_output": true
|
1640 |
+
}
|
1641 |
+
]
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"id": "SentientAGI/Dobby-Unhinged-Llama-3.3-70B",
|
1645 |
+
"object": "model",
|
1646 |
+
"created": 1739304442,
|
1647 |
+
"owned_by": "SentientAGI",
|
1648 |
+
"providers": [
|
1649 |
+
{
|
1650 |
+
"provider": "featherless-ai",
|
1651 |
+
"status": "live"
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"provider": "fireworks-ai",
|
1655 |
+
"status": "live",
|
1656 |
+
"supports_tools": false,
|
1657 |
+
"supports_structured_output": false
|
1658 |
+
}
|
1659 |
+
]
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"id": "CohereLabs/c4ai-command-r7b-12-2024",
|
1663 |
+
"object": "model",
|
1664 |
+
"created": 1733932505,
|
1665 |
+
"owned_by": "CohereLabs",
|
1666 |
+
"providers": [
|
1667 |
+
{
|
1668 |
+
"provider": "cohere",
|
1669 |
+
"status": "live",
|
1670 |
+
"supports_tools": true,
|
1671 |
+
"supports_structured_output": false
|
1672 |
+
}
|
1673 |
+
]
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"id": "NousResearch/Hermes-3-Llama-3.1-70B",
|
1677 |
+
"object": "model",
|
1678 |
+
"created": 1722263277,
|
1679 |
+
"owned_by": "NousResearch",
|
1680 |
+
"providers": [
|
1681 |
+
{
|
1682 |
+
"provider": "hyperbolic",
|
1683 |
+
"status": "live",
|
1684 |
+
"supports_tools": false,
|
1685 |
+
"supports_structured_output": false
|
1686 |
+
}
|
1687 |
+
]
|
1688 |
+
},
|
1689 |
+
{
|
1690 |
+
"id": "aaditya/Llama3-OpenBioLLM-70B",
|
1691 |
+
"object": "model",
|
1692 |
+
"created": 1713925272,
|
1693 |
+
"owned_by": "aaditya",
|
1694 |
+
"providers": [
|
1695 |
+
{
|
1696 |
+
"provider": "nebius",
|
1697 |
+
"status": "live",
|
1698 |
+
"supports_tools": false,
|
1699 |
+
"supports_structured_output": true
|
1700 |
+
}
|
1701 |
+
]
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"id": "CohereLabs/aya-vision-32b",
|
1705 |
+
"object": "model",
|
1706 |
+
"created": 1740951400,
|
1707 |
+
"owned_by": "CohereLabs",
|
1708 |
+
"providers": [
|
1709 |
+
{
|
1710 |
+
"provider": "cohere",
|
1711 |
+
"status": "live",
|
1712 |
+
"supports_tools": false,
|
1713 |
+
"supports_structured_output": false
|
1714 |
+
}
|
1715 |
+
]
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"id": "NousResearch/Hermes-2-Pro-Llama-3-8B",
|
1719 |
+
"object": "model",
|
1720 |
+
"created": 1714436178,
|
1721 |
+
"owned_by": "NousResearch",
|
1722 |
+
"providers": [
|
1723 |
+
{
|
1724 |
+
"provider": "novita",
|
1725 |
+
"status": "live",
|
1726 |
+
"supports_tools": false,
|
1727 |
+
"supports_structured_output": false
|
1728 |
+
}
|
1729 |
+
]
|
1730 |
+
},
|
1731 |
+
{
|
1732 |
+
"id": "Qwen/Qwen2-72B-Instruct",
|
1733 |
+
"object": "model",
|
1734 |
+
"created": 1716868129,
|
1735 |
+
"owned_by": "Qwen",
|
1736 |
+
"providers": [
|
1737 |
+
{
|
1738 |
+
"provider": "featherless-ai",
|
1739 |
+
"status": "live"
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"provider": "together",
|
1743 |
+
"status": "live",
|
1744 |
+
"supports_tools": false,
|
1745 |
+
"supports_structured_output": false
|
1746 |
+
}
|
1747 |
+
]
|
1748 |
+
},
|
1749 |
+
{
|
1750 |
+
"id": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
|
1751 |
+
"object": "model",
|
1752 |
+
"created": 1737364182,
|
1753 |
+
"owned_by": "deepseek-ai",
|
1754 |
+
"providers": [
|
1755 |
+
{
|
1756 |
+
"provider": "novita",
|
1757 |
+
"status": "live",
|
1758 |
+
"supports_tools": false,
|
1759 |
+
"supports_structured_output": true
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"provider": "featherless-ai",
|
1763 |
+
"status": "live"
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"provider": "nscale",
|
1767 |
+
"status": "live",
|
1768 |
+
"supports_tools": false,
|
1769 |
+
"supports_structured_output": true
|
1770 |
+
}
|
1771 |
+
]
|
1772 |
+
},
|
1773 |
+
{
|
1774 |
+
"id": "dphn/dolphin-2.9.2-mixtral-8x22b",
|
1775 |
+
"object": "model",
|
1776 |
+
"created": 1716934597,
|
1777 |
+
"owned_by": "dphn",
|
1778 |
+
"providers": [
|
1779 |
+
{
|
1780 |
+
"provider": "novita",
|
1781 |
+
"status": "live",
|
1782 |
+
"supports_tools": false,
|
1783 |
+
"supports_structured_output": false
|
1784 |
+
}
|
1785 |
+
]
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"id": "marin-community/marin-8b-instruct",
|
1789 |
+
"object": "model",
|
1790 |
+
"created": 1747241066,
|
1791 |
+
"owned_by": "marin-community",
|
1792 |
+
"providers": [
|
1793 |
+
{
|
1794 |
+
"provider": "featherless-ai",
|
1795 |
+
"status": "live"
|
1796 |
+
},
|
1797 |
+
{
|
1798 |
+
"provider": "together",
|
1799 |
+
"status": "live",
|
1800 |
+
"supports_tools": false,
|
1801 |
+
"supports_structured_output": true
|
1802 |
+
}
|
1803 |
+
]
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"id": "meta-llama/Llama-3.1-405B-Instruct",
|
1807 |
+
"object": "model",
|
1808 |
+
"created": 1721154284,
|
1809 |
+
"owned_by": "meta-llama",
|
1810 |
+
"providers": [
|
1811 |
+
{
|
1812 |
+
"provider": "nebius",
|
1813 |
+
"status": "live",
|
1814 |
+
"supports_tools": true,
|
1815 |
+
"supports_structured_output": true
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"provider": "fireworks-ai",
|
1819 |
+
"status": "live",
|
1820 |
+
"supports_tools": true,
|
1821 |
+
"supports_structured_output": false
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"provider": "sambanova",
|
1825 |
+
"status": "live",
|
1826 |
+
"supports_tools": true,
|
1827 |
+
"supports_structured_output": true
|
1828 |
+
}
|
1829 |
+
]
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"id": "baidu/ERNIE-4.5-VL-424B-A47B-Base-PT",
|
1833 |
+
"object": "model",
|
1834 |
+
"created": 1751089776,
|
1835 |
+
"owned_by": "baidu",
|
1836 |
+
"providers": [
|
1837 |
+
{
|
1838 |
+
"provider": "novita",
|
1839 |
+
"status": "live",
|
1840 |
+
"supports_tools": false,
|
1841 |
+
"supports_structured_output": false
|
1842 |
+
}
|
1843 |
+
]
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"id": "Sao10K/L3-70B-Euryale-v2.1",
|
1847 |
+
"object": "model",
|
1848 |
+
"created": 1718134069,
|
1849 |
+
"owned_by": "Sao10K",
|
1850 |
+
"providers": [
|
1851 |
+
{
|
1852 |
+
"provider": "novita",
|
1853 |
+
"status": "live",
|
1854 |
+
"supports_tools": false,
|
1855 |
+
"supports_structured_output": false
|
1856 |
+
},
|
1857 |
+
{
|
1858 |
+
"provider": "featherless-ai",
|
1859 |
+
"status": "live"
|
1860 |
+
}
|
1861 |
+
]
|
1862 |
+
},
|
1863 |
+
{
|
1864 |
+
"id": "tokyotech-llm/Llama-3.3-Swallow-70B-Instruct-v0.4",
|
1865 |
+
"object": "model",
|
1866 |
+
"created": 1740976430,
|
1867 |
+
"owned_by": "tokyotech-llm",
|
1868 |
+
"providers": [
|
1869 |
+
{
|
1870 |
+
"provider": "sambanova",
|
1871 |
+
"status": "live",
|
1872 |
+
"supports_tools": false,
|
1873 |
+
"supports_structured_output": true
|
1874 |
+
}
|
1875 |
+
]
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"id": "deepseek-ai/DeepSeek-Prover-V2-671B",
|
1879 |
+
"object": "model",
|
1880 |
+
"created": 1745993675,
|
1881 |
+
"owned_by": "deepseek-ai",
|
1882 |
+
"providers": [
|
1883 |
+
{
|
1884 |
+
"provider": "novita",
|
1885 |
+
"status": "live",
|
1886 |
+
"supports_tools": false,
|
1887 |
+
"supports_structured_output": false
|
1888 |
+
}
|
1889 |
+
]
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"id": "baidu/ERNIE-4.5-300B-A47B-Base-PT",
|
1893 |
+
"object": "model",
|
1894 |
+
"created": 1751089026,
|
1895 |
+
"owned_by": "baidu",
|
1896 |
+
"providers": [
|
1897 |
+
{
|
1898 |
+
"provider": "novita",
|
1899 |
+
"status": "live",
|
1900 |
+
"supports_tools": false,
|
1901 |
+
"supports_structured_output": false
|
1902 |
+
}
|
1903 |
+
]
|
1904 |
+
},
|
1905 |
+
{
|
1906 |
+
"id": "baidu/ERNIE-4.5-0.3B-PT",
|
1907 |
+
"object": "model",
|
1908 |
+
"created": 1751091102,
|
1909 |
+
"owned_by": "baidu",
|
1910 |
+
"providers": [
|
1911 |
+
{
|
1912 |
+
"provider": "novita",
|
1913 |
+
"status": "live",
|
1914 |
+
"supports_tools": false,
|
1915 |
+
"supports_structured_output": false
|
1916 |
+
}
|
1917 |
+
]
|
1918 |
+
}
|
1919 |
+
]
|
1920 |
+
}
|