Mistral: Devstral 2 2512

Public pricingIntelligence 79/100Large memoryРабота с инструментами

Mistral: Devstral 2 2512 — это текстовой‑модель для кодирование, разработка ПО и агентные сценарии. Она сочетает высокую эффективность в кодинге и надёжную работу с инструментами и агентами, контекст 262K tokens и профиль сбалансированный по цене, обеспечивая надёжную работу в задачах кодирование, разработка ПО и агентные сценарии.

Input

$0.40/1M

Output

$2.00/1M

Cached

$0.04/1M

Batch

$0.15/1M

Calculate your Devstral 2 2512 bill.

Set your workload — see cost at your exact volume.

What would Devstral 2 2512 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Devstral 2 2512 at a glance.

Memory

262,144

tokens

Max reply

32,768

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

mistral

Released

Dec 2025

Training cutoff

Jul 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • swe_bench_verified

    72.2

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 2 2512

  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • 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 2 2512 — 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 2 2512 costs roughly $110 per month. Input is $0.40 /1M tokens and output is $2.00 /1M tokens.
Devstral 2 2512 has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Devstral 2 2512 supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Devstral 2 2512 was released in December 2025, with training data cut off around July 2025.
Models in a similar class include Codestral 2508, Mistral Large 3 2512, Ministral 3 14B 2512. The "Similar models" section below this FAQ links into each.

Still unsure?

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