Side-by-side comparison of Command R+ (Cohere · Canada) and Ling-2.6 1T (inclusionAI · China) for self-hosted deployment of the open-weight model. Command R+ is rated conditional; Ling-2.6 1T is conditional. They part ways on licence: Command R+ is "CC-BY-NC 4.0", Ling-2.6 1T is "MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Enterprise-focused 104B model, strong at RAG and multilingual tool use. Weights are released under CC-BY-NC 4.0 — non-commercial only. Commercial deployment goes through Cohere's API (see Cohere API entry). | 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 | CC-BY-NC 4.0 | MIT |
| Commercial use | API only | Unrestricted |
| Training data | Partial | Undisclosed |
| Origin | Canada | China |
| Performance & pricing? | ||
| Quality index | 8/100 | — |
| Speed | — | — |
| Blended price | $6.00/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.