Codestral

by Mistral

Codestral 25.08 is Mistral's code-completion model, released at the end of July 2025 and tuned for high-frequency engineering tasks including fill-in-the-middle (FIM) and code generation. It supports a wide range of programming languages and a 128k token context window, and it can be self-deployed across cloud, VPC, or on-premises environments without architectural changes. The model is built for production engineering workflows and powers IDE integrations. Mistral reports meaningful gains over earlier Codestral versions, including a higher rate of accepted completions and more retained code after a suggestion, validated on real production codebases. Codestral 25.08 sits within Mistral's broader coding stack alongside the Devstral code agents and the Codestral Embed retrieval model, serving as the foundation for code completion and generation workflows.

Key info

Input
Output
Features
Context window
128K
Max output
8K
Input price
$0.30 /1M
Output price
$0.90 /1M
  • onchain settlement available
  • No training by default
  • no-KYC deposit available

Available routes

Codestral runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
EUNot by defaultNo$0.30$0.90

Uptime and availability

Codestral runs on a single route through the qynio gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days
Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.

Data handling per route

Each route hosting Codestral has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

Mistral β€” FranceπŸ‡«πŸ‡·

Zero data retention is not on by default β€” abuse monitoring, 30-day retention. No training on customer data. EU; deposit available.

Zero data retention
Not by default β€” abuse monitoring, 30-day retention. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
Abuse monitoring (30-day retention)
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
Not applicable β€” data stays in EU

Get started

Call Codestral through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β€” qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.QYN_API_KEY,
baseURL: "https://api.qyn.io/v3/compat",
});
const completion = await client.chat.completions.create({
model: "mistral/codestral-2508",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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