2026 Technical Benchmark
DeepSeek-V3 vs Meta Llama 3.3 (70B): Open Weights King 2026
Comparing 671B MoE architecture with Meta refined 70B dense model on real-world coding benchmarks.
| Metric | DeepSeek-V3 (671B) | Llama 3.3 (70B) |
|---|---|---|
| Architecture | 671B MoE (37B active) | 70B Dense Transformer |
| HumanEval Score | 89.2% verified accuracy | 86.4% verified accuracy |
| Self-Hosting Hardware | Requires multi-GPU cluster | Runs on dual RTX 3090 / 4090 (quantized) |
| API Token Cost | $0.27 / $1.10 per 1M tokens | $0.35 / $1.20 per 1M tokens |
| Best Suited For | High-throughput cloud inference | On-premise private enterprise instances |
◈ Architecture Recommendation
DeepSeek-V3 dominates advanced reasoning and API economics; Llama 3.3 70B is easier to run on single-node GPU hardware.