Mistral: Devstral Medium

Public pricingIntelligence 77/100Medium memoryUso di strumenti

Mistral: Devstral Medium è un modello testo pensato per programmazione, ingegneria software e flussi agentici. Unisce ottime prestazioni nel coding e uso affidabile degli strumenti e comportamento agentico, un contesto di 131K tokens e un profilo a costo equilibrato per un lavoro affidabile in programmazione, ingegneria software e flussi agentici.

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?

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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.

Alternatives

Similar models to compare.

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.

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