Side-by-side comparison of Hy-MT2-30B-A3B (Tencent) and Ling-2.6 1T (inclusionAI · China) for self-hosted deployment of the open-weight model. Hy-MT2-30B-A3B is rated conditional; Ling-2.6 1T is conditional. They part ways on licence: Hy-MT2-30B-A3B is "Apache 2.0", Ling-2.6 1T is "MIT".
| 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 published model card, Ling-2.6 1T is an MIT-licensed 1-trillion-parameter MoE with a 262k-token context, hybrid MLA + Linear attention and multi-token-prediction support, targeted at production agentic workloads. Permissive weights enable EU self-hosting in principle, though the deployment footprint is non-trivial; vendor jurisdiction (Ant Group, China) and undisclosed training data remain the regulated-buyer blockers. |
| Last reviewed | 2026-05-30 | 2026-05-03 |
| Open-weight | ||
| Licence | Apache 2.0 | MIT |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | — | 34/100 |
| Speed | — | — |
| Blended price | — | $0.85/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.