Side-by-side comparison of Llama 3.1 Nemotron 70B (NVIDIA · USA) and OLMo 2 32B (AllenAI · USA) for self-hosted deployment of the open-weight model. Llama 3.1 Nemotron 70B is rated conditional; OLMo 2 32B is EU-ready. They part ways on licence: Llama 3.1 Nemotron 70B is "Llama community", OLMo 2 32B is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | EU-ready Fully open model: weights, training data (Dolma 2), training code, checkpoints, and logs all published. Apache 2.0 across the board. Strongest choice when AI Act transparency obligations matter. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | Llama community | Apache 2.0 |
| Commercial use | With caps | Yes |
| Training data | Partial | Disclosed |
| Origin | USA | USA |
| Performance & pricing? | ||
| Quality index | 13/100 | 11/100 |
| Speed | 42 tok/s | — |
| Blended price | $1.20/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.