MistralReleased on Mar 17, 2025

Mistral Small 3.1 24B Instruct: API Pricing, Context Window & Benchmarks

Mistral Small 3.1 24B Instruct is a language model from Mistral, released in March 2025, with multimodal input.

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

Mistral Small 3.1 24B Instruct benchmarks

Rankings

Quality Tracker

Mistral Small 3.1 24B Instruct Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Wed Jul 22 2026
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Mistral Small 3.1 24B Instruct model size

Mistral Small 3.1 24B Instruct has 24 billion parameters. See how it compares to other models in the same parameter range.

Parameters
24B
Medium (10–30B)
24B
1B7B70B405B

Mistral Small 3.1 24B Instruct API

API availability not verified

API availability for Mistral Small 3.1 24B Instruct has not been verified. It is not currently routed through the LLM Stats gateway.

Mistral Small 3.1 24B Instruct latency

Mistral Small 3.1 24B Instruct time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Mistral Small 3.1 24B Instruct examples

Recent arena outputs from Mistral Small 3.1 24B Instruct, picked from the highest-ranked matchups.

Mistral Small 3.1 24B Instruct license

Mistral Small 3.1 24B Instruct is released under the Apache 2.0 license, which permits commercial use, has 24.0B parameters.

License
Apache 2.0
Commercial use allowed
Parameters
24.0B

Apache License 2.0 - allows commercial use

Mistral Small 3.1 24B Instruct resources

Official sources for Mistral Small 3.1 24B Instruct: official playground, official launch post, model weights.

Mistral Small 3.1 24B Instruct vs other models

The most-compared alternatives to Mistral Small 3.1 24B Instruct are Llama 3.1 70B Instruct, Llama 3.2 90B Instruct, Nova Lite. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Mistral Small 3.1 24B Instruct

Models ranked just above and below Mistral Small 3.1 24B Instruct by LLM Stats score.

 

Llama 3.1 70B Instruct

Score pending
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Llama 3.2 90B Instruct

Score pending
DetailsCompare
 

Nova Lite

Score pending
DetailsCompare
 

Mistral Small 3.2 24B Instruct

Score pending
DetailsCompare
 

Nova Micro

Score pending
DetailsCompare
 

Phi 4 Mini

Score pending
DetailsCompare

FAQ

Common questions about Mistral Small 3.1 24B Instruct.

When was Mistral Small 3.1 24B Instruct released?

Mistral Small 3.1 24B Instruct was released on March 17, 2025 by Mistral. This is the official Mistral Small 3.1 24B Instruct release date tracked on LLM Stats.

How big is Mistral Small 3.1 24B Instruct?

Mistral Small 3.1 24B Instruct has 24 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Mistral Small 3.1 24B Instruct?

Mistral Small 3.1 24B Instruct was created by Mistral.

What is the license for Mistral Small 3.1 24B Instruct?

Mistral Small 3.1 24B Instruct is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Is Mistral Small 3.1 24B Instruct multimodal?

Yes, Mistral Small 3.1 24B Instruct is multimodal and can accept both text and images as input.

Where is the Mistral Small 3.1 24B Instruct paper or technical report?

Mistral Small 3.1 24B Instruct has a paper or technical report available at https://mistral.ai/news/mistral-small-3-1. Use that source for architecture, training, release and evaluation details.

What models should I compare Mistral Small 3.1 24B Instruct against?

Common Mistral Small 3.1 24B Instruct comparisons include Mistral Small 3.1 24B Instruct vs Llama 3.1 70B Instruct, Mistral Small 3.1 24B Instruct vs Llama 3.2 90B Instruct, Mistral Small 3.1 24B Instruct vs Nova Lite. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.