DeepSeek-R1 vs Llama 3.3 70B
A direct, empirical evaluation of DeepSeek-R1 (DeepSeek-AI) against Llama 3.3 70B (Meta AI).
DeepSeek-R1
Developed by DeepSeek-AI · 671B parameters
Olympiad mathematics, logic verification, and autonomous thinking chains.
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
| Metric | DeepSeek-R1 | Llama 3.3 70B |
|---|---|---|
| SWE-bench Verified | 49.2% | 38.8% |
| MMLU-Pro | 84% | 68.3% |
| MATH-500 | 97.3% | 75.8% |
| Context Window | 128,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $0.55 | $0.15 |
| Output Pricing (per 1M) | $2.19 | $0.60 |