ZMIME
Mistral AI · Released Jun 20, 2025

Mistral Small 3.2

Efficient Mistral model for fast chat, extraction, and production assistants.

  • Open weights
  • Tool calling
  • Vision
Capability
131.7ECI · #123 of 148
Input
$0.10per 1M tokens
Output
$0.30per 1M tokens
Context
128K16K max output
Pricing

What it costs

Input
$0.10per million tokens
Output
$0.30per million tokens
Blended (3:1)
$0.15cheaper than 83% of priced models

Typical monthly bills

Monthly usageEstimated cost
Side project2M input + 0.5M output tokens$0.35
Team assistant25M input + 5M output tokens$4.00
Production app250M input + 50M output tokens$40.00

Official Mistral API price, as listed on models.dev.

Capability

Independent benchmarks

131.7Epoch Capabilities Index
#123 of 148 scored models
88Median 146167

The shaded band is Epoch AI’s confidence range (126.6–133.9); the tick marks the median scored model.

  • GPQA DiamondGraduate-level science questions49.1%
  • OTIS Mock AIME 2024–2025Competition mathematics30.3%

Scores from Epoch AI, run independently of Mistral AI.

Specifications

The details

Lab
Mistral AI
Released
Jun 20, 2025
Knowledge cutoff
Mar 2025
Context window
128,000 tokens
Max output
16,384 tokens
Inputs
Text, Images
Output
Text
Reasoning
No
Tool calling
Yes
Structured output
No
API model ID
mistral-small-2506on Mistral
Availability
6 API providerslisted on models.dev

Mistral model documentation

Same lab

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Questions

About Mistral Small 3.2

How much does Mistral Small 3.2 cost?

Mistral Small 3.2 costs $0.10 input / $0.30 output per million tokens (official Mistral API price). At a 3:1 input-to-output mix that is $0.15 per million tokens, cheaper than 83% of the 360 priced models we track.

What is the context window of Mistral Small 3.2?

Mistral Small 3.2 accepts up to 128,000 tokens per request and can write up to 16,384 tokens in one response.

How good is Mistral Small 3.2?

Epoch AI gives Mistral Small 3.2 a Capabilities Index score of 131.7 (likely range 126.6–133.9), ranking it #123 of 148 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 49.1%, OTIS Mock AIME 2024–2025 30.3%.

Is Mistral Small 3.2 open source?

Yes. Mistral AI publishes the weights, so it can be downloaded and self-hosted.

What inputs does Mistral Small 3.2 support?

Mistral Small 3.2 accepts text and images and replies in text. It is not a dedicated reasoning model, supports tool calling.

When was Mistral Small 3.2 released?

Mistral AI released Mistral Small 3.2 on Jun 20, 2025. Its training data runs to Mar 2025.

What are the best alternatives to Mistral Small 3.2?

The closest current models from other labs on capability, price and release date are Gemini 2.5 Flash-Lite (Google, ECI 133.9, $0.10 / $0.40), Qwen3 30B A3B (Alibaba (Qwen), ECI 136.2, $0.114 / $0.50), Llama 4 Maverick 17B Instruct (Meta, ECI 132.2, $0.321 / $0.91) and GPT OSS 20B (OpenAI, ECI 137.8, $0.07 / $0.295).