Codestral

Mideu

MistralCodingcodestral-2508

EU-resident coding specialist — completion + fill-in-the-middle.

Capabilities

Tool callingJSON mode

Recommended for

code completion
fill-in-the-middle
EU-resident coding

Using this model through Conduix

Call it by its id, or let a routing alias pick it as part of a governed, cross-provider chain with automatic failover.

Direct model idcodestral-2508

Reached by these routing aliases:

code-balancedfallback #2 · Claude Sonnet 5 → GPT-5.3 Codex → Codestral
code-fastfallback #1 · GPT-5.4 mini → Codestral → Claude Haiku 4.5

Routing relationships are operational — chains adapt to provider availability and your org's policy — not a contractual guarantee that a specific model serves a given request.

Get started

Conduix is OpenAI-API-compatible — point any OpenAI SDK at https://api.conduix.ai/v1 and pass codestral-2508 as the model.

from conduix import Conduix

client = Conduix(api_key="cx_live_YOUR_KEY")  # base URL is built in

response = client.chat.completions.create(
    model="codestral-2508",
    messages=[{"role": "user", "content": "Hello, Conduix!"}],
)
print(response.choices[0].message.content)

Tool calling: Pass a tools array and the model calls your functions.
JSON mode: Set response_format for guaranteed-valid JSON output.

The response's x-conduix-model-served header tells you exactly which model answered. See the quickstart for keys, headers, and usage.