Side-by-side comparison of DeepSeek V3.2 (DeepSeek · China) and Llama 3.3 70B (Meta · USA) for self-hosted deployment of the open-weight model. DeepSeek V3.2 is rated conditional; Llama 3.3 70B is conditional. They part ways on licence: DeepSeek V3.2 is "MIT", Llama 3.3 70B is "Llama community".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional 685B successor to V3 with DeepSeek Sparse Attention for long context, scalable RL for agentic tasks. Vendor claims parity with GPT-5 (Speciale variant exceeds). MIT licence keeps weights clean; Chinese-origin considerations unchanged. | Conditional Strong 70B model, near-flagship quality at smaller size. Same Llama community licence as Llama 4: 700M MAU cap, acceptable-use policy, 'Built with Llama' attribution required. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | MIT | Llama community |
| Commercial use | Yes | With caps |
| Training data | Undisclosed | Undisclosed |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | 32/100 | 15/100 |
| Speed | 32 tok/s | 97 tok/s |
| Blended price | $0.32/M | $0.68/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.