DeepSeek-V3 vs Llama 3.3 70B
A direct, empirical evaluation of DeepSeek-V3 (DeepSeek-AI) against Llama 3.3 70B (Meta AI).
DeepSeek-V3
Developed by DeepSeek-AI · 671B parameters
Cost-effective high-throughput general reasoning and bilingual generation.
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
| Metric | DeepSeek-V3 | Llama 3.3 70B |
|---|---|---|
| SWE-bench Verified | 49.2% | 38.8% |
| MMLU-Pro | 75.9% | 68.3% |
| MATH-500 | 90.2% | 75.8% |
| Context Window | 128,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $0.14 | $0.15 |
| Output Pricing (per 1M) | $0.28 | $0.60 |