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  1. Models
  2. Text
  3. Mistral

Mistral Small 3.2 24B (2506)

The latest iteration of Mistral Small, version 3.2 (2506) brings enhanced performance and capabilities. With 24 billion parameters, this model delivers state-of-the-art results across text generation tasks with improved efficiency.

Added Apr 15, 2025

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.20
Output
$0.40
Compare provider prices

Specifications

Context window
128K
Max output
131.1K
Parameters
24B
Avg output (7d)
665 tokens
Longer than 52% of models

Benchmarks

No public benchmark scores for this model yet.

Providers

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto
Recommended
$0.20$0.40N/AN/AN/A
Kitani
Kitani
INT4
GLB
$0.189$0.399$0.0945N/AN/A
Privacy:ZDR, prompts not retained
Batch API
ProviderInputOutputCached input
Auto
Automistralai/mistral-small-3.2-24b-instruct
$0.20/M$0.40/MN/A

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Related text models

Compare Mistral Small 3.2 24B (2506) with similar models from the same provider or model family.

Mistral Small 3 24B (2501)

mistralai/mistral-small-24b-instruct-2501

Mistral Small 3 24B (2501) hosted by IONOS in Berlin, Germany. Zero data retention.

Mistral Small 3.1 24B (2503)

mistralai/mistral-small-3.1-24b-instruct

Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance. With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks.

Mistral Small 4 119B Thinking

mistralai/mistral-small-4-119b-2603:thinking

Mistral Small 4 with reasoning enabled (reasoning_effort=high). A hybrid MoE model with deep step-by-step reasoning for complex prompts, coding, and multi-step problem solving.

Mistral Small 4 119B

mistralai/mistral-small-4-119b-2603

Mistral Small 4 is a hybrid MoE model that unifies instruct, reasoning, and coding behavior in a single multimodal model. It supports text and image input, native function calling, JSON output, and per-request reasoning effort controls.

Mistral Devstral Small 2505

mistralai/devstral-small-2505

OpenHands+Devstral is 100% local 100% open, and is SOTA for the category on SWE-Bench Verified: 46.8% accuracy.

Mistral Nemo

mistralai/mistral-nemo-instruct-2407

12B parameter model with multilingual support.