Title: Codestral 25.08 %E2%80%94 codestral-25-08 Canonical: https://llmeu.com/ro/models/codestral-25-08/ Markdown mirror: https://llmeu.com/ro/models/codestral-25-08.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json Provider: Mistral AI Licence: proprietary Hosting: catalogue only %E2%80%94 not hosted on LLM EU yet Sources: https://docs.mistral.ai/models/codestral-25-08 https://mistral.ai/news/codestral-25-08 # Codestral 25.08 [Mistral AI](/ro/providers/mistral/) %C2%B7 Furnizori EU Ultima revizuire: 14 oct. 2026 ## Suveranitate %C8%99i g%C4%83zduire Acest model este catalogat ca referin%C8%9B%C4%83. Nu este g%C4%83zduit %C3%AEnc%C4%83 pe LLM EU %C8%99i niciun endpoint propriu nu %C3%AEl serve%C8%99te aici. Cererile c%C4%83tre el merg direct la furnizor, conform termenilor acelui furnizor. ## Rezumat Codestral este modelul Mistral de completare a codului, servit prin API-ul Mistral, mai degrab%C4%83 dec%C3%A2t publicat ca greut%C4%83%C8%9Bi. Suport%C4%83 completarea la mijloc (fill-in-the-middle), apelarea de instrumente (tool calling) %C8%99i r%C4%83spunsul la %C3%AEntreb%C4%83ri despre documente (document question answering) pe o fereastr%C4%83 de context de 128k tokeni. Num%C4%83rul de parametri nu este publicat, %C8%99i niciun pre%C8%9B nu este cotat aici: aceast%C4%83 implementare nu serve%C8%99te nimic, deci o rat%C4%83 care nu poate fi taxat%C4%83 nim%C4%83nui nu este un fapt pe care aceast%C4%83 pagin%C4%83 ar trebui s%C4%83-l con%C8%9Bin%C4%83. ## Specifica%C8%9Bii - Furnizor Mistral AI (FR) - Fereastr%C4%83 de context 131k - Parametri Neverificat: furnizorul nu a documentat aceast%C4%83 afirma%C8%9Bie. - Modalit%C4%83%C8%9Bi text, code - Licen%C8%9B%C4%83 proprietary %C2%B7 [licence](https://legal.mistral.ai/ai-governance/models/codestral) - Ponderi deschise no - Data lans%C4%83rii 30 iul. 2025 - Sarcini [Codare](/ro/tasks/coding/), [Reg%C4%83sire (RAG)](/ro/tasks/rag/), [Cost redus](/ro/tasks/cheap/) ## Limbi **Puternic:** en **Adecvat:** fr, de, es, it, pt #### Puternic - en #### Adecvat - fr - de - es - it - pt Neverificat: furnizorul nu a documentat aceast%C4%83 afirma%C8%9Bie. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists. ## C%C3%A2nd se folose%C8%99te #### Puncte forte - fill-in-the-middle completion for editor integration - 128k-token context window - vendor-published list pricing #### Limit%C4%83ri - closed weights: inference only through Mistral or a licensed deployment - parameter count and training data are not published - no evaluation has been run by LLM EU ## %C3%8Entreb%C4%83ri frecvente ### Can I download Codestral 25.08 weights? No. It is served through the Mistral API rather than published as weights %E2%80%94 the card records no weights origin and open_weights is false. Its limit states inference is only through Mistral or a licensed deployment, under a proprietary general-availability ("Premier") tier (https://legal.mistral.ai/ai-governance/models/codestral). Source: https://docs.mistral.ai/models/codestral-25-08. ### How many parameters does Codestral 25.08 have? The parameter count is not published. The card records that parameter count and training data are not published, and carries no parameter figure, so there is no number to quote. ### What context window and features does Codestral 25.08 have? A 131072-token context window (source: https://docs.mistral.ai/models/codestral-25-08), with fill-in-the-middle completion for editor integration, tool calling and document question answering. ### What does Mistral charge for Codestral 25.08? $0.3 per million input tokens, $0.9 per million output tokens (https://docs.mistral.ai/models/codestral-25-08). That is Mistral's own published rate; LLM EU charges nothing for this model, because no model weights run on this deployment. ### Is Codestral 25.08 served or evaluated on LLM EU? It is not served with real weights, and it cannot be hosted first-party at all while the weights stay closed. It has no endpoint in the catalogue, so it is catalogue only %E2%80%94 not hosted on LLM EU yet, with no region and no retention to report. A card whose status is "listed" is a catalogue entry, not a running deployment. The card also records that no evaluation has been run by LLM EU. ### Pre%C8%9Buri Acest model este catalogat ca referin%C8%9B%C4%83. Nu este g%C4%83zduit %C3%AEnc%C4%83 pe LLM EU %C8%99i niciun endpoint propriu nu %C3%AEl serve%C8%99te aici. Cererile c%C4%83tre el merg direct la furnizor, conform termenilor acelui furnizor. ### Stare de verificare Acolo unde un c%C3%A2mp nu are surs%C4%83, cardul %C3%AEl afi%C8%99eaz%C4%83 ca neverificat %C3%AEn loc s%C4%83 %C3%AEl completeze. Un c%C3%A2mp gol este informa%C8%9Bie. LLM EU Verified %C3%AEnseamn%C4%83 documentat, nu certificat legal. Nu este o evaluare a conformit%C4%83%C8%9Bii cu AI Act %C8%99i LLM EU nu este un organism al UE. ### Versiuni %C8%99i variante - catalogue %C2%B7 Doar %C3%AEn catalog ### Exemplu de cerere ``` curl https://api.llmeu.com/v1/chat/completions \ -H "Authorization: Bearer $LLMEU_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"codestral-25-08","messages":[{"role":"user","content":"Hello"}]}' ``` Nu exist%C4%83 un playground implementat pentru acest model: niciun punct final nu %C3%AEl serve%C8%99te, a%C8%99a c%C4%83 o cerere nu ar avea unde s%C4%83 ajung%C4%83. ### Benchmark-uri Nicio evaluare publicat%C4%83. Aceasta este o lacun%C4%83, nu un rezultat ascuns. ### Surse - [docs.mistral.ai](https://docs.mistral.ai/models/codestral-25-08) - [mistral.ai](https://mistral.ai/news/codestral-25-08) ### Istoric modific%C4%83ri fi%C8%99%C4%83 - 30 iul. 2025 %E2%80%94 Data lans%C4%83rii - 14 oct. 2026 %E2%80%94 Ultima revizuire Ultima revizuire: 14 oct. 2026 ### Sarcini - [Codare](/ro/tasks/coding/)