Llama 3.3 70B vs Qwen 4 Max (Leaked Staging)
A direct, empirical evaluation of Llama 3.3 70B (Meta AI) against Qwen 4 Max (Leaked Staging) (Alibaba Cloud).
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
Qwen 4 Max (Leaked Staging)
Developed by Alibaba Cloud · 1.2 Trillion (Sparse MoE) parameters
Repository-scale software engineering outscoring GPT-6 Sol, multilingual enterprise agents across 120 languages, and low-cost 1M-token processing.
| Metric | Llama 3.3 70B | Qwen 4 Max (Leaked Staging) |
|---|---|---|
| SWE-bench Verified | 38.8% | 78.6% |
| MMLU-Pro | 68.3% | 91.4% |
| MATH-500 | 75.8% | 95.6% |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.15 | $1.20 |
| Output Pricing (per 1M) | $0.60 | $4.80 |