Side-by-side comparison of Command R+ (Cohere · Canada) and GLM-4.5 (Zhipu AI · China) for self-hosted deployment of the open-weight model. Command R+ is rated conditional; GLM-4.5 is conditional. They part ways on licence: Command R+ is "CC-BY-NC 4.0", GLM-4.5 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 MoE flagship from Zhipu under MIT. Strong agentic and coding benchmarks. Same Chinese-origin alignment and geopolitical considerations as DeepSeek / Qwen. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | CC-BY-NC 4.0 | MIT |
| Commercial use | API only | Yes |
| Training data | Partial | Undisclosed |
| Origin | Canada | China |
| Performance & pricing? | ||
| Quality index | 8/100 | 26/100 |
| Speed | — | 44 tok/s |
| Blended price | $6.00/M | $0.84/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.