Llama 3.3 70B vs Qwen 2.5 Max
A direct, empirical evaluation of Llama 3.3 70B (Meta AI) against Qwen 2.5 Max (Alibaba Cloud).
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
Qwen 2.5 Max
Developed by Alibaba Cloud · Proprietary (~700B) parameters
Cross-lingual document extraction and structured structured output generation.
| Metric | Llama 3.3 70B | Qwen 2.5 Max |
|---|---|---|
| SWE-bench Verified | 38.8% | 51.4% |
| MMLU-Pro | 68.3% | 77.2% |
| MATH-500 | 75.8% | 89.4% |
| Context Window | 128,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $0.15 | $1.60 |
| Output Pricing (per 1M) | $0.60 | $6.40 |