What is Mistral Codestral — 22B Open-Weight Coding Model?

Codestral is Mistral's coding-specialized model. 22B params, 32K context, 80+ languages including Python, JS, Go, Rust, Bash. Free for non-commercial use.

Is Mistral Codestral — 22B Open-Weight Coding Model free to use?

Yes. Mistral Codestral — 22B Open-Weight Coding Model is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install Mistral Codestral — 22B Open-Weight Coding Model?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

Mistral Codestral — 22B Open-Weight Coding Model

Name: Mistral Codestral — 22B Open-Weight Coding Model
Author: Mistral AI

# Pull ollama pull codestral # Chat ollama run codestral # Use as completion server (port 11434) curl http://localhost:11434/api/generate -d '{ "model": "codestral", "prompt": "Write a Rust function that returns the Nth Fibonacci number using memoization." }'

// config.json in your Continue extension { "models": [ { "title": "Codestral (local)", "provider": "ollama", "model": "codestral", "apiBase": "http://localhost:11434" } ], "tabAutocompleteModel": { "title": "Codestral Autocomplete", "provider": "ollama", "model": "codestral" } }

from litellm import completion response = completion( model="codestral/codestral-latest", messages=[{"role": "user", "content": "Refactor this Python function to use list comprehensions"}], api_key=os.environ["CODESTRAL_API_KEY"], )

Model

Specialty

Best for

Mistral Small

General-purpose

Chat, summarization, RAG

Codestral

Code-only

Tab completion, refactor, code Q&A

Mixtral 8x7B

Mixture-of-experts

High-throughput inference

Quick Use

Local: ollama pull codestral && ollama run codestral
API: get a key at console.mistral.ai, then export MISTRAL_API_KEY=...
Plug into Continue / Aider / LiteLLM with the snippets below

Intro

Codestral is Mistral AI's coding-specialized model — 22B parameters, 32K context, trained on 80+ languages from Python and JavaScript to Bash and Fortran. The open-weight Codestral 22B is free for research and non-commercial use; the latest Codestral models are available via Mistral's API and Le Chat for production. Best for: local code completion via Continue / Aider, latency-sensitive code generation. Works with: Ollama, vLLM, llama.cpp, Continue, Aider, LiteLLM. Setup time: 5 minutes (Ollama pull or API key).

Run Codestral locally with Ollama

# Pull
ollama pull codestral

# Chat
ollama run codestral

# Use as completion server (port 11434)
curl http://localhost:11434/api/generate -d '{
  "model": "codestral",
  "prompt": "Write a Rust function that returns the Nth Fibonacci number using memoization."
}'

Use Codestral with Continue

// config.json in your Continue extension
{
  "models": [
    {
      "title": "Codestral (local)",
      "provider": "ollama",
      "model": "codestral",
      "apiBase": "http://localhost:11434"
    }
  ],
  "tabAutocompleteModel": {
    "title": "Codestral Autocomplete",
    "provider": "ollama",
    "model": "codestral"
  }
}

Use Codestral with Aider

# Via Mistral API (production)
export MISTRAL_API_KEY=your-key
aider --model mistral/codestral-latest

# Or via local Ollama
aider --model ollama/codestral

Through LiteLLM

from litellm import completion

response = completion(
    model="codestral/codestral-latest",
    messages=[{"role": "user", "content": "Refactor this Python function to use list comprehensions"}],
    api_key=os.environ["CODESTRAL_API_KEY"],
)

Codestral vs general Mistral models

Model	Specialty	Best for
Mistral Small	General-purpose	Chat, summarization, RAG
Codestral	Code-only	Tab completion, refactor, code Q&A
Mixtral 8x7B	Mixture-of-experts	High-throughput inference

FAQ

Q: Is Codestral free? A: The Codestral 22B open-weights are free under the Mistral AI Non-Production License (research, non-commercial). For production / commercial use, call Codestral via Mistral's paid API on la-platforme.mistral.ai.

Q: How does Codestral compare to Claude / GPT for coding? A: On code-specific benchmarks (HumanEval, MBPP) Codestral is competitive with Claude 3.5 Sonnet. For broad reasoning + coding combined, Claude / GPT-4 still lead. Codestral's wins are local deployment and lower latency.

Q: Can I fine-tune Codestral? A: Yes — Mistral provides LoRA fine-tuning recipes for Codestral. The open-weight version can be fine-tuned with any standard tool (axolotl, unsloth, trl). Mistral's hosted fine-tuning API is also available.

Source & Thanks

Built by Mistral AI. Open-weights under Mistral AI Non-Production License.

Codestral on Hugging Face — ⭐ 1,500+

Mistral Codestral — 22B Open-Weight Coding Model

Cet actif peut être lu et installé directement par les agents

Run Codestral locally with Ollama

Use Codestral with Continue

Use Codestral with Aider

Through LiteLLM

Codestral vs general Mistral models

FAQ

Quick Use

Intro

Run Codestral locally with Ollama

Use Codestral with Continue

Use Codestral with Aider

Through LiteLLM

Codestral vs general Mistral models

FAQ

Source & Thanks

Source et remerciements

Fil de discussion

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