Side-by-side comparison of GLM-4.5 (Zhipu AI · China) and SmolLM3 3B (Hugging Face · USA) for self-hosted deployment of the open-weight model. GLM-4.5 is rated conditional; SmolLM3 3B is EU-ready. They part ways on licence: GLM-4.5 is "MIT", SmolLM3 3B 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 Fully open small model: Apache 2.0 weights, training data published, engineering blueprint public. 6 native languages (EN/FR/ES/DE/IT/PT) covers major EU markets. 128K context via YARN. Strong default for edge or on-prem EU deployments where transparency matters. |
| Last reviewed | 2026-04-15 | 2026-04-16 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Yes | Yes |
| 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.