Side-by-side comparison of MiniCPM5-1B (OpenBMB) and Qwen 3.5 (Alibaba · China) for self-hosted deployment of the open-weight model. MiniCPM5-1B is rated conditional; Qwen 3.5 is conditional. They part ways on commercial use: MiniCPM5-1B is "Unrestricted", Qwen 3.5 is "Yes".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per the published Apache 2.0 LICENSE, the 1.08B-parameter weights carry no use restrictions and are well suited to on-device or edge deployments. Unusually for a Chinese-origin release, OpenBMB ships a full data card naming every pre-training and SFT corpus, which closes the AI Act Art. 53 transparency gap most peers leave open. The remaining hedge for regulated EU buyers is vendor jurisdiction (Tsinghua-affiliated lab, mainland China) — self-host the weights and treat any vendor-side service as out of scope. | Conditional Hybrid Gated-DeltaNet + MoE flagship (397B total, 17B active) under Apache 2.0. Native vision, 201 languages, 262K context (1M with YaRN). Licence is clean; Chinese-origin alignment and supply-chain considerations persist. |
| Last reviewed | 2026-05-30 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Yes |
| Training data | Documented | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | — | 40/100 |
| Speed | — | 53 tok/s |
| Blended price | — | $1.35/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.