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Mistral Small 3.2 (Mistral AI)

Mistral Small 3.2 is described by its publisher as an update to Mistral's previous small model, refining the line rather than introducing a new architecture family. The official model page positions it as a compact multimodal release designed to balance quality with cost, targeting everyday chat, document question answering, function calling, and structured output scenarios. Its deprecation status on the Mistral documentation, with an explicit recommendation to migrate new projects to Mistral Small 4, signals that 3.2 represents a transitional generation in the small-model lineup rather than the current frontier option.

For teams with existing integrations, Mistral Small 3.2 offers a wide the cataloged API limit token context window that suits long document analysis and multi-turn conversations, and it accepts both text and image inputs, making it usable for light vision tasks such as chart, screenshot, and document image understanding. The Apache 2.0 license attached to the model page aligns with an open-weights distribution, which is appealing for self-hosting, fine-tuning, and compliance-sensitive deployments where data must stay on-premises. In practice, 3.2 fits workloads that need a flexible multimodal small model on permissive terms, but new builds should target Mistral Small 4 to stay within Mistral's actively maintained inference lifecycle.

LLM Gatewaymistral/mistral-small-2506mistral-small

Quick Info

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Provider
LLM Gateway
Model key
mistral/mistral-small-2506
Release date
Jun 20, 2025
Last updated
Jun 20, 2025
Knowledge cutoff
2025-03
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.10
Output token cost
$0.30

Limits

Output tokens
16,384 tokens
Context window
128,000 tokens

Latest news about Mistral Small 3.2 (Mistral AI)

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Coverage

A third-party tracking page on LM Market Cap catalogues details for Mistral Small 3.2, the June 2025 stability-focused update to Mistral Small 3.1 (identifier mistral-small-2506). It describes the model as a 24B-parameter dense transformer with a 128K context window, Apache 2.0 licensing, multimodal text-and-image inpu The same page claims Mistral Small 3.2 delivers a 120% improvement on Arena Hard v2 over 3.1 (43.1 vs 19.56), which it characterizes as Mistral's largest single-version performance jump. Pricing figures are listed as $0.075-$0.10 per 1M input tokens and $0.20-$0.30 per 1M output tokens, and the model is tagged as avail

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