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MistralReleased June 20, 2025

Mistral Small 3.2

Mistral · Released June 20, 2025

Intelligence score

11

At a glance

Intelligence
11
Speed
147.4tokens/sec
Latency
720mstime to first token
Input price
$0.10per 1M tokens
Output price
$0.30per 1M tokens
Context window
130Ktokens
Parameters
24billions

Summary

Comparison summary

Mistral Small 3.2 scores 11 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 6). Mistral Small 3.2 generates output at 147.4 tokens per second (based on Mistral's API), which is well above average compared to other open weight non-reasoning models of similar size (median: 101.8 t/s). Mistral Small 3.2 costs $0.10 per 1M input tokens (better than average, median: $0.15) and $0.30 per 1M output tokens (better than average, median: $0.32), based on Mistral's API.

Specifications

Technical specifications

Model nameMistral Small 3.2
ProviderMistral
Release dateJune 20, 2025
Intelligence score11
Speed147.4 tokens/sec
Latency (TTFT)0.72s
Input price$0.10 / 1M tokens
Output price$0.30 / 1M tokens
Context window130,000 tokens
Parameters24B
ReasoningNo
Input modalitiestext, image
Output modalities—
Open weightsYes
LicenseApache 2
API availability—
SourceModel Intelligence legacy profile: mistral-small-3-2

Pricing

Token prices

Price per 1M tokens

Mistral Small 3.2, as listed in the catalog record

Input $0.10 and output $0.30 per 1M tokens. Missing prices are hatched and marked "Not published".
  1. Input$0.10
  2. Output$0.30

Model Intelligence legacy profile: mistral-small-3-2

FAQ · 20

Frequently asked questions

Mistral Small 3.2 was released on June 20, 2025.

Mistral Small 3.2 was created by Mistral.

Mistral Small 3.2 scores 11 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 6).

Mistral Small 3.2 generates output at 147.4 tokens per second (based on Mistral's API), which is well above average compared to other open weight non-reasoning models of similar size (median: 101.8 t/s).

Mistral Small 3.2 has a time to first token (TTFT) of 0.72s (based on Mistral's API), which is very competitive compared to other open weight non-reasoning models of similar size (median: 1.54s).

Mistral Small 3.2 costs $0.10 per 1M input tokens (better than average, median: $0.15) and $0.30 per 1M output tokens (better than average, median: $0.32), based on Mistral's API.

Mistral Small 3.2 costs $0.10 per 1M input tokens and $0.30 per 1M output tokens (based on Mistral's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.12 per 1M tokens. Pricing may vary by provider.

When evaluated on the Intelligence Index, Mistral Small 3.2 generated 8.4M output tokens, which is better than average compared to other open weight non-reasoning models of similar size (median: 9.5M).

No, Mistral Small 3.2 is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.

Mistral Small 3.2 supports text and image input.

Mistral Small 3.2 supports text output.

Yes, Mistral Small 3.2 supports image input and can analyze, describe, and answer questions about images.

Yes, Mistral Small 3.2 is multimodal. It can process text and image input and generate text output.

Mistral Small 3.2 has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.

Yes, Mistral Small 3.2 is open weights. The model weights are publicly available and can be downloaded for self-hosting.

Mistral Small 3.2 has 24 billion parameters.

Mistral Small 3.2 is released under the Apache 2.0 license. This license allows commercial use.

Mistral Small 3.2 achieves a score of 11 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.

Yes, Mistral Small 3.2 is available via API through 2 providers.

Mistral Small 3.2 is available through 2 API providers.