Side-by-side comparison of GLM-4.5 (Zhipu AI · China) and IBM Granite 4.1 30B (IBM · USA) for self-hosted deployment of the open-weight model. GLM-4.5 is rated conditional; IBM Granite 4.1 30B is EU-ready. They part ways on licence: GLM-4.5 is "MIT", IBM Granite 4.1 30B is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional MoE flagship from Zhipu under MIT. Strong agentic and coding benchmarks. Same Chinese-origin alignment and geopolitical considerations as DeepSeek / Qwen. | EU-ready Per the published model card, Granite 4.1 30B is an Apache 2.0 30-billion-parameter dense decoder with a 131k-token context, trained on the same publicly-available + synthetic + human-curated mix that anchors the rest of the Granite family. The larger sibling of Granite 4.1 8B, positioned for enterprise workloads where the 8B class falls short on reasoning depth — same defensible-default profile, with IP indemnification available via watsonx. |
| Last reviewed | 2026-04-15 | 2026-05-03 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Disclosed |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | 26/100 | — |
| Speed | 44 tok/s | — |
| Blended price | $0.84/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.