Mistral: Mistral Small 3.2 24B

Public pricingIntelligence 79/100Medium memoryVisiónUso de herramientas

Mistral: Mistral Small 3.2 24B es un modelo multimodal pensado para comprensión visión-lenguaje. Combina el manejo multimodal de entradas y la comprensión de imágenes, un contexto de 128K tokens y un perfil bajo costo para trabajar con fiabilidad en vision-language understanding and content analysis.

Input

$0.07/1M

Output

$0.20/1M

Cached

$0.02/1M

Batch

$0.04/1M

Calculate your Mistral Small 3.2 24B bill.

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What would Mistral Small 3.2 24B cost you?

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Technical specifications

Mistral Small 3.2 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

Jun 2025

Training cutoff

Oct 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    81

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 3.2 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 3.2 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 3.2 24B costs roughly $14 per month. Input is $0.07 /1M tokens and output is $0.20 /1M tokens.
Mistral Small 3.2 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 3.2 24B supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Mistral Small 3.2 24B was released in June 2025, with training data cut off around October 2024.
Models in a similar class include Ministral 3 3B 2512, Voxtral Small 24B 2507, Ministral 3 8B 2512. The "Similar models" section below this FAQ links into each.

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