Mistral-Small-3.1-24B-Instruct-2503

Name: Mistral-Small-3.1-24B-Instruct-2503
Author: MistralAI

Foundation modelSmall-3.1

Release date: 2025-03-17Updated: 2025-03-18Views: 1,058

Live demoGitHubHugging Face Compare

Parameters

24B

Context length

128K

Multilingual

Supported

Reasoning ability

No data

Mistral-Small-3.1-24B-Instruct-2503 is an AI model published by MistralAI, released on 2025-03-17, for Foundation model, with 24B parameters, and 128K context length, requiring about 48GB storage, with a 759.20 score on Creative Writing.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Mistral-Small-3.1-24B-Instruct-2503

Model basics

Reasoning traces

No data

Thinking modes

Thinking modes not supported

Context length

128K tokens

Max output length

No data

Model type

Foundation model

Modality (in / out)

Text, Image → Text

Release date

2025-03-17

Model file size

48GB

MoE architecture

Total params / Active params

24B / Not applicable

Knowledge cutoff

No data

Mistral-Small-3.1-24B-Instruct-2503

Open source & experience

Code license

Apache 2.0

Weights license

Apache 2.0- Commercial use permitted

GitHub repo

N/A

Hugging Face

huggingface.co/mistralai/Mistral-Small-3.1-24B-…

Live demo

N/A

Mistral-Small-3.1-24B-Instruct-2503

Official resources

Paper

DataLearnerAI blog

Mistral-Small-3.1-24B-Instruct-2503

API details

API speed

No data

No public API pricing yet.

Mistral-Small-3.1-24B-Instruct-2503

Benchmark Results

Mistral-Small-3.1-24B-Instruct-2503 currently shows benchmark results led by HumanEval (22 / 140, score 88.41), MBPP (28 / 96, score 74.71), MMLU (52 / 124, score 80.62). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.