Side-by-side comparison of Codestral 22B (Mistral AI · France) and Talkie-1930-13B-IT (Talkie-LM (research)) for self-hosted deployment of the open-weight model. Codestral 22B is rated conditional; Talkie-1930-13B-IT is conditional. They part ways on licence: Codestral 22B is "MNPL (non-prod)", Talkie-1930-13B-IT is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional EU code model trained on 80+ languages. Licensed under Mistral Non-Production License — blocked for any production or commercial deployment without a paid commercial licence. Use Codestral Mamba (Apache 2.0) if you need commercial freedom. | Conditional Per the published model card, Talkie-1930-13B-IT is an Apache 2.0 instruction-tuned 13B model trained exclusively on pre-1931 English text (260B tokens, sourced from public-domain reference works). The training-data transparency is unusually clean for AI Act Article 53 purposes; the limits are vendor jurisdiction (a US-affiliated research collaboration with no published EU DPA) and the deliberate vintage corpus, which makes the model unsuitable for any task requiring post-1931 factual knowledge. |
| Last reviewed | 2026-04-15 | 2026-04-28 |
| Open-weight | ||
| Licence | MNPL (non-prod) | Apache 2.0 |
| Commercial use | Paid licence req. | Unrestricted |
| Training data | Partial | Documented |
| Origin | EU | US (research) |
| Performance & pricing? | ||
| Quality index | — | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.