Side-by-side comparison of Gemma 4 (Google · USA) and Ling-2.6 1T (inclusionAI · China) for self-hosted deployment of the open-weight model. Gemma 4 is rated EU-ready; Ling-2.6 1T is conditional. They part ways on licence: Gemma 4 is "Apache 2.0", Ling-2.6 1T is "MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready Major licence shift from Gemma 2/3: Apache 2.0 across the family. 140+ languages, multimodal (text/image/audio/video on small sizes), 128K-256K context. Strong permissive default for EU deployments that need robust multilingual support. | 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 | 2026-04-15 | 2026-05-03 |
| Open-weight | ||
| Licence | Apache 2.0 | MIT |
| Commercial use | Yes | Unrestricted |
| Training data | Partial | Undisclosed |
| Origin | USA | China |
| Performance & pricing? | ||
| Quality index | 32/100 | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.