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Open weightsMistral AI/10 trustVerified
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Codestral 25.01

Mistral's FIM-specialist code model: 256K context, 80+ languages, 2x faster.

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About

Released January 13, 2025, Codestral 25.01 is Mistral's updated code generation model built for high-frequency, low-latency coding assistance. Its headline strength is fill-in-the-middle (FIM) completion: 95.3% average pass@1 across languages, topping sub-100B code models and beating OpenAI's FIM API. A new architecture and tokenizer doubled generation speed versus the original Codestral, the context window grew 8x to 256K tokens, and it covers 80+ programming languages with 86.6% on Python HumanEval. It topped LMsys' Copilot Arena at launch and ships free inside the Continue VS Code/JetBrains extension.\n\nLimitations: it is released under Mistral's Non-Production License (MNPL) — weights are downloadable but restricted to research, testing, and evaluation, not production deployment. It is a completion specialist, not a chat agent; complex reasoning and agentic planning belong to larger models. Fill-in-the-middle quality still trails dedicated agentic coding models on multi-file refactors.

Specs

Context window

256K tokens

Pricing

Free via Continue extension; API via Mistral La Plateforme

Free quota

Free trial in VS Code / JetBrains via Continue

API access

Mistral La Plateforme, Google Vertex AI, Azure AI Foundry, Amazon Bedrock

Weights

Open weights

Released

January 13, 2025

Benchmarks

Mistral-reported: 95.3% FIM pass@1, 86.6% HumanEval Python

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

code-completioncodingrefactoringcode-translation

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 50; Trending score 80/100 from researcher assessment.

More in the codestral family

Sources