Mistral: Mistral Small 3.1 24B

Public pricingIntelligence 74/100Medium memoryVisionTool-Nutzung

Mistral: Mistral Small 3.1 24B ist ein multimodal-Modell für multimodales Denken und Analysieren. Es verbindet multimodale Eingabeverarbeitung und tiefes Schlussfolgern und Planen, einen Kontext von 128K tokens und ein ausgewogen-Profil für zuverlässige Arbeit über multimodales Denken und Analysieren.

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.

  • gpqa_diamond

    45.96

  • humaneval

    88.41

  • math

    69.3

  • mmlu

    80.62

  • mmlu_pro

    66.76

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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