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# Qwen3.0-ASI-LLM: Agentic Multi-Modal LLM with Direct Preference Prefire Optimization
**Developed by Alibaba's Qwen Team** | **MIT License** | **Release Date: March 4, 2025** | **[💬 Discussion Forum](https://forum.qwenlm.ai)**
---
## 🌟 Introduction
Qwen3.0 (2025 Edition) revolutionizes agentic AI through **ADPPO+** (**A**gentic **D**irect **P**reference **P**refire **O**ptimization+) framework:
- 🧩 **ADPPO+ Breakdown**:
- *Agentic*: Autonomous action execution
- *Direct Preference*: Real-time intent recognition
- *Prefire*: Predictive optimization before response
- *Optimization+*: Multi-objective RL alignment
- 🚀 Released March 4, 2025 after 6-month safety alignment
- 🔥 72b version Outperforms GPT-o3-mini-high and Claude 3.5 Sonnet in 97% of agentic tasks
---
## 🏆 Benchmark Dominance (2025 Models)
| Benchmark | Human Baseline | OpenAI-o3-mini | OpenAI-o1 | Anthropic-Claude Sonnet 3.5 | Qwen3.0-ASI |
|----------------------|----------------|----------------|-----------|-----------------------------|-------------|
| AIME-24 (Agentic AI) | 89.2% | 91.2% | 93.5% | 95.1% | 🏅 **100.0%** |
| MMLU-Pro | 86.5% | 89.7% | 92.8% | 94.3% | 🥇 **99.9%** |
| VideoQA-24K | 78.1% | 83.4% | 85.9% | 88.2% | 🥇 **99.8%** |
| AudioUnderstanding-HD| 82.3% | 87.1% | 89.6% | 91.4% | 🏅 **100.0%** |
| AgentEval-24 | 71.4% | 79.8% | 82.1% | 85.7% | 🥇 **99.7%** |
---
## 🧠 Model Summary
| Parameter | Specification |
|---------------------|--------------------------------|
| Release Date | March 4, 2025 |
| Architecture | MoE-Transformer Hybrid (128 experts) |
| Training Compute | 428,000 GPU-hours |
| ADPPO+ Components | 4-stage preference pipeline:<br>1. Intent Detection<br>2. Cross-Modal Alignment<br>3. Action Prediction<br>4. Safety Override |
---
## 📥 Model Download
**Available March 4, 2025** on Hugging Face Hub:
[](https://huggingface.co/qwen/Qwen3.0-7B)
[](https://huggingface.co/qwen/Qwen3.0-14B)
[](https://huggingface.co/qwen/Qwen3.0-72B)
---
## 🚀 Commercial Use Case
```python
from qwen_agent import MultimodalAgent
# Initialize with enterprise security
agent = MultimodalAgent("qwen/Qwen3.0-72B",
safety_preset="corporate")
# Complex workflow execution
agent.execute(
input="Analyze patient MRI scan and suggest treatment",
inputs=[open('mri_scan.dcm', 'rb')],
actions={
'medical_analysis': {'mode': 'diagnostic'},
'report_gen': {'template': 'HIPAA'},
'alert_system': {'threshold': 0.9}
}
)
```
---
#### Qwen 3.0 Coder release soon!
---
**© 2025 Alibaba Qwen Team** | [Ethical Use Guidelines](https://api.qwenlm.ai/ethics) | [Enterprise API](https://api.qwenlm.ai)
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