Side-by-side comparison of Ling-2.6 1T (inclusionAI · China) and Qwen3.6-27B (Alibaba (Qwen)) for self-hosted deployment of the open-weight model. Ling-2.6 1T is rated conditional; Qwen3.6-27B is conditional. They part ways on licence: Ling-2.6 1T is "MIT", Qwen3.6-27B is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | Conditional Per the published Apache 2.0 licence, the Qwen3.6-27B weights are deployable without commercial restriction, including for vision-language and 1M-context workloads. The blockers for regulated EU use are the China-based vendor and the absence of any training-data disclosure on the model card — both should be mitigated through self-hosting and a deployer-prepared GPAI compliance file. |
| Last reviewed | 2026-05-03 | 2026-04-28 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | — | 46/100 |
| Speed | — | 66 tok/s |
| Blended price | — | $1.35/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.