DeepSeek V5 (Leaked Staging) vs Llama 3.3 70B
A direct, empirical evaluation of DeepSeek V5 (Leaked Staging) (DeepSeek AI) against Llama 3.3 70B (Meta AI).
DeepSeek V5 (Leaked Staging)
Developed by DeepSeek AI · 1.8 Trillion (Sparse MoE) parameters
Autonomous coding agents scoring 81.4% on SWE-bench Verified, zero-telemetry self-hosting, sub-cent 1M-token processing, and formal mathematical proofs.
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
| Metric | DeepSeek V5 (Leaked Staging) | Llama 3.3 70B |
|---|---|---|
| SWE-bench Verified | 81.4% | 38.8% |
| MMLU-Pro | 87.5% | 68.3% |
| MATH-500 | 96.8% | 75.8% |
| Context Window | 1,000,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $0.12 | $0.15 |
| Output Pricing (per 1M) | $0.48 | $0.60 |