Mistral: Mistral Small 3.1 24B

Public pricingIntelligence 74/100Medium memory視覚ツール利用

Mistral: Mistral Small 3.1 24B は マルチモーダル モデルで、マルチモーダル推論と分析 に向いています。マルチモーダル入力処理、深い推論と計画、128K 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、マルチモーダル推論と分析 で安定した動作を支えます。遅延・コスト・スループット 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

$0.35/1M

Output

$0.56/1M

Cached

$0.03/1M

Batch

$0.05/1M

Calculate your Mistral Small 3.1 24B bill.

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What would Mistral Small 3.1 24B cost you?

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Technical specifications

Mistral Small 3.1 24B at a glance.

Memory

128,000

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

mistral

Released

Mar 2025

Training cutoff

Oct 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    80.62

  • mmlu_pro

    66.76

  • gpqa_diamond

    45.96

  • humaneval

    88.41

  • math

    69.3

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 Mistral Small 3.1 24B

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Mistral Small 3.1 24B — 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, Mistral Small 3.1 24B costs roughly $49 per month. Input is $0.35 /1M tokens and output is $0.56 /1M tokens.
Mistral Small 3.1 24B has a 128,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,000 words of input and history in a single call.
Beyond text generation, Mistral Small 3.1 24B supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Mistral Small 3.1 24B was released in March 2025, with training data cut off around October 2024.
Models in a similar class include Mistral Medium 3, Mistral Medium 3.1, Ministral 3 14B 2512. The "Similar models" section below this FAQ links into each.

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