Codestral
Mistral AI's code-generation family of models, available via API and as open weights.
Codestral is a mistral AI's code-generation family of models, available via API and as open weights. Released by Mistral AI as an open-weight code model with downloadable checkpoints.
About Codestral
Codestral is Mistral AI's family of code-generation models, available through an API and as open weights.
It's a model, not an editor: purpose-built and fine-tuned for code completion and generation, shipped in variants like Codestral 22B and the 25.01 release, with downloadable checkpoints for self-hosting.
It's for developers who want to wire a code model into their own tools or self-host it, via Mistral's La Plateforme API or the open weights. It's not a plug-in assistant — there's no first-party IDE plugin comparable to the dedicated ones — the free API is rate-limited, and self-hosting the checkpoints needs substantial GPU memory.
It's a building block behind assistants rather than one you install, like the open DeepSeek Coder.
Sources: mistral.ai/news/codestral, this listing
Codestral pros and cons
Pros
- Released by Mistral AI as an open-weight code model with downloadable checkpoints.
- Available via Mistral's La Plateforme API in addition to the open-weights release.
- Shipped in multiple variants including Codestral 22B and the updated 25.01 release.
- Purpose-built and fine-tuned for code generation and code completion tasks.
Cons
- Free-tier API access is subject to rate limits and request quotas.
- Self-hosting the open-weight checkpoints requires substantial GPU memory and infrastructure.
- Does not include a first-party IDE plugin comparable to dedicated coding assistants.
Tagged
- Self-hostable
- Web-based
- Free
- Freemium
- Open Source
Codestral alternatives
More from Code Completion.
- 01Paid →Augment Code
Enterprise AI coding assistant with deep context across very large monorepos and team memory.
- 02Freemium →Supermaven
Code completion with a 1M-token context window — knows your entire codebase as you type.
- 03Freemium →Tabby
Self-hosted, open-source GitHub Copilot alternative built on open-weights code models.
- 04Free →Continue
Open-source AI code assistant for VS Code and JetBrains, with full BYOK and local-model support.
- 05Freemium →Tabnine
Enterprise AI code completion with private models, zero data retention, and on-prem deployment options.
- 06Freemium →Codeium
Free AI code completion and chat across 70+ IDEs, with enterprise self-hosting available.
Codestral pricing
Read off the vendor’s own pricing page on 2026-09-01.
| Plan | Price | Best for |
|---|---|---|
| Free | $0 | Trying out Vibe and testing Mistral models in Studio |
| Pro | $14.99 /mo (excluding taxes) | Solo developer coding all day in CLI, IDE, or web |
| Education (verified students) | $5.99 /month | Verified students who want Pro features |
| Team | $24.99 /user/mo (excluding taxes) | Teams building with AI in a shared workspace |
| Enterprise | Contact us | Organizations needing private deployments and custom models |
Full Codestral pricing breakdown — limits, hidden costs, change log →
Related reading
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</a>Frequently asked questions
- What is Codestral?
- Codestral is a mistral AI's code-generation family of models, available via API and as open weights.
- How much does Codestral cost?
- Codestral pricing, read from the vendor's page on 2026-09-01: Free — $0; Pro — $14.99 /mo (excluding taxes); Education (verified students) — $5.99 /month; Team — $24.99 /user/mo (excluding taxes); Enterprise — Contact us.
- Is Codestral free?
- Yes. Codestral has a free plan (Free) — Limited messages; limited web searches; limited coding sessions; $10 /mo in API credits; image generation included. Verified against the vendor's pricing page on 2026-09-01.
- What platforms does Codestral support?
- Codestral runs on web.
- What are the alternatives to Codestral?
- Similar tools in Code Completion on vibedonalds: Augment Code, Supermaven, Tabby, Continue.
- What are the downsides of Codestral?
- Free-tier API access is subject to rate limits and request quotas. Self-hosting the open-weight checkpoints requires substantial GPU memory and infrastructure. Does not include a first-party IDE plugin comparable to dedicated coding assistants.