Mistral: Devstral Medium

Public pricingIntelligence 77/100Medium memoryツール利用

Mistral: Devstral Medium は テキスト モデルで、コーディング、ソフトウェア開発、エージェント業務 に向いています。高いコーディング性能、安定したツール利用とエージェント動作、131K tokensのコンテキスト、バランス型コストの特性を組み合わせ、コーディング、ソフトウェア開発、エージェント業務 で安定した動作を支えます。精度・文脈・制御 が重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.40/1M

Output

$2.00/1M

Cached

$0.04/1M

Batch

$0.20/1M

Calculate your Devstral Medium bill.

Set your workload — see cost at your exact volume.

What would Devstral Medium cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Devstral Medium at a glance.

Memory

131,072

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

mistral

Released

Jul 2025

Training cutoff

Mar 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • swe_bench_verified

    61.6

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 Devstral Medium

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

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

FAQ

Devstral Medium — 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, Devstral Medium costs roughly $110 per month. Input is $0.40 /1M tokens and output is $2.00 /1M tokens.
Devstral Medium has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Devstral Medium supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Devstral Medium was released in July 2025, with training data cut off around March 2025.
Models in a similar class include Devstral 2 2512, Mistral Medium 3, Mistral Medium 3.1. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Devstral Medium against 100+ other models.

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