Mistral: Codestral 2508

Public pricingIntelligence 81/100Large memoryツヌル利甚

Mistral: Codestral 2508 は テキスト モデルで、コヌディング、デバッグ、技術䜜業 に向いおいたす。高いコヌディング性胜、䜎遅延で効率的な掚論、256K tokensのコンテキスト、䜎コストの特性を組み合わせ、coding, debugging, and technical writing で安定した動䜜を支えたす。遅延・コスト・スルヌプット が重芁な堎面に合っおおり、安定した出力、柔軟な導入、拡匵性を求めるチヌムに実甚的です。 安定した応答、長い文脈凊理、そしお詊䜜から本番たで広く䜿える柔軟さが必芁な堎面で圹立ちたす。 安定した応答、長い文脈凊理、そしお詊䜜から本番たで広く䜿える柔軟さが必芁な堎面で圹立ちたす。 安定した応答、長い文脈凊理、そしお詊䜜から本番たで広く䜿える柔軟さが必芁な堎面で圹立ちたす。

Input

$0.30/1M

Output

$0.90/1M

Cached

$0.03/1M

Batch

$0.15/1M

Calculate your Codestral 2508 bill.

Set your workload — see cost at your exact volume.

What would Codestral 2508 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Codestral 2508 at a glance.

Memory

256,000

tokens

Max reply

32,768

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

mistral

Released

Aug 2025

Training cutoff

Mar 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • humaneval

    81

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Codestral 2508

  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Codestral 2508 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Codestral 2508 costs roughly $59 per month. Input is $0.30 /1M tokens and output is $0.90 /1M tokens.
Codestral 2508 has a 256,000-token context window (large memory — an entire book or large codebase). That means you can fit about 48,000 words of input and history in a single call.
Beyond text generation, Codestral 2508 supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Codestral 2508 was released in August 2025, with training data cut off around March 2025.

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