Side-by-side comparison of DeepSeek V3.2 (DeepSeek · China) and Llama 3.1 Nemotron 70B (NVIDIA · USA) for self-hosted deployment of the open-weight model. DeepSeek V3.2 is rated conditional; Llama 3.1 Nemotron 70B is conditional. They part ways on licence: DeepSeek V3.2 is "MIT", Llama 3.1 Nemotron 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 NVIDIA's Llama 3.1 fine-tune with custom RLHF. Inherits Llama 3.1 Community License terms. Strong conversational quality; useful default when you want Llama behaviour with NVIDIA's alignment. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | MIT | Llama community |
| Commercial use | Yes | With caps |
| Training data | Undisclosed | Partial |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | 32/100 | 13/100 |
| Speed | 32 tok/s | 42 tok/s |
| Blended price | $0.32/M | $1.20/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.