Side-by-side comparison of GLM-5.1 (Zhipu AI (Z.ai) · China) and Ling-2.6 1T (inclusionAI · China) for self-hosted deployment of the open-weight model. GLM-5.1 is rated conditional; Ling-2.6 1T is conditional. They part ways on origin: GLM-5.1 is "China (Beijing)", Ling-2.6 1T is "China".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per current documentation, GLM-5.1 is released under a verbatim MIT License with no use restrictions, enabling self-hosted commercial deployment. However, training-data opacity, Beijing-based publisher, and Zhipu AI's presence on the US BIS Entity List create EU AI Act transparency and supply-chain screening risks for regulated deployers. | 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 | 2026-04-17 | 2026-05-03 |
| Open-weight | ||
| Licence | MIT | MIT |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | China (Beijing) | China |
| Performance & pricing? | ||
| Quality index | 44/100 | — |
| Speed | 48 tok/s | — |
| Blended price | $2.15/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.