Side-by-side comparison of Hy-MT2-30B-A3B (Tencent) and Nemotron-3 Nano Omni 30B-A3B Reasoning (NVIDIA · USA) for self-hosted deployment of the open-weight model. Hy-MT2-30B-A3B is rated conditional; Nemotron-3 Nano Omni 30B-A3B Reasoning is conditional. They part ways on licence: Hy-MT2-30B-A3B is "Apache 2.0", Nemotron-3 Nano Omni 30B-A3B Reasoning is "NVIDIA Open Model".
| 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 Per the NVIDIA Open Model Agreement, Nemotron-3 Nano Omni is commercially usable with a NOTICE-file attribution requirement and U.S. export-compliance obligations. Multimodal MoE (31B total / 3B active) accepting video, audio, image and text input, with reasoning-style chain-of-thought output. Training data is unusually well-documented (1,395 datasets, modality breakdown, CSAM scanning) — useful for AI Act Article 53 mapping. Vendor jurisdiction remains the US. |
| Last reviewed | 2026-05-30 | 2026-05-03 |
| Open-weight | ||
| Licence | Apache 2.0 | NVIDIA Open Model |
| Commercial use | Unrestricted | Permitted (with attribution) |
| Training data | Undisclosed | Disclosed |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | — | 21/100 |
| Speed | — | 344 tok/s |
| Blended price | — | $0.13/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.