Side-by-side comparison of Hy-MT2-30B-A3B (Tencent) and Llama 3.1 Nemotron 70B (NVIDIA · USA) for self-hosted deployment of the open-weight model. Hy-MT2-30B-A3B is rated conditional; Llama 3.1 Nemotron 70B is conditional. They part ways on licence: Hy-MT2-30B-A3B is "Apache 2.0", Llama 3.1 Nemotron 70B is "Llama community".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per the published Apache 2.0 LICENSE, the Hunyuan-MT2 30B-A3B weights are deployable without commercial restriction — this is a specialised fast-thinking translation model covering 36 languages, not a general-purpose chat backbone. The blockers for regulated EU use are Tencent's Chinese jurisdiction and a model card that names no training corpora; self-host the weights and prepare a deployer-side GPAI compliance file before processing personal data. | 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 | 2026-05-30 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Llama community |
| Commercial use | Unrestricted | With caps |
| Training data | Undisclosed | Partial |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | — | 13/100 |
| Speed | — | 42 tok/s |
| Blended price | — | $1.20/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.