ZMIME
Mistral AI · Released Mar 17, 2025

Mistral Small 3.1 24B

Efficient multimodal model for instruction following, coding, reasoning, and function calling.

  • Open weights
  • Tool calling
  • Vision
Capability
127.5ECI · #132 of 148
Input
$0.229per 1M tokens
Output
$0.436per 1M tokens
Context
128K16K max output
Pricing

What it costs

Input
$0.229per million tokens
Output
$0.436per million tokens
Blended (3:1)
$0.281cheaper than 71% of priced models

Typical monthly bills

Monthly usageEstimated cost
Side project2M input + 0.5M output tokens$0.675
Team assistant25M input + 5M output tokens$7.90
Production app250M input + 50M output tokens$78.95

Median of 2 paid API providers on models.dev.

Capability

Independent benchmarks

127.5Epoch Capabilities Index
#132 of 148 scored models
88Median 146167

The shaded band is Epoch AI’s confidence range (122.6–129.4); the tick marks the median scored model.

  • GPQA DiamondGraduate-level science questions47.5%
  • OTIS Mock AIME 2024–2025Competition mathematics5.8%

Scores from Epoch AI, run independently of Mistral AI.

Specifications

The details

Lab
Mistral AI
Released
Mar 17, 2025
Knowledge cutoff
Jun 2024
Context window
128,000 tokens
Max output
16,384 tokens
Inputs
Text, Images
Output
Text
Reasoning
No
Tool calling
Yes
Structured output
Yes
Availability
2 API providerslisted on models.dev
Same lab

More from Mistral AI

Questions

About Mistral Small 3.1 24B

How much does Mistral Small 3.1 24B cost?

Mistral Small 3.1 24B costs $0.229 input / $0.436 output per million tokens (median across 2 API providers). At a 3:1 input-to-output mix that is $0.281 per million tokens, cheaper than 71% of the 360 priced models we track.

What is the context window of Mistral Small 3.1 24B?

Mistral Small 3.1 24B accepts up to 128,000 tokens per request and can write up to 16,384 tokens in one response.

How good is Mistral Small 3.1 24B?

Epoch AI gives Mistral Small 3.1 24B a Capabilities Index score of 127.5 (likely range 122.6–129.4), ranking it #132 of 148 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 47.5%, OTIS Mock AIME 2024–2025 5.8%.

Is Mistral Small 3.1 24B open source?

Yes. Mistral AI publishes the weights, so it can be downloaded and self-hosted.

What inputs does Mistral Small 3.1 24B support?

Mistral Small 3.1 24B accepts text and images and replies in text. It is not a dedicated reasoning model, supports tool calling and can return structured JSON output.

When was Mistral Small 3.1 24B released?

Mistral AI released Mistral Small 3.1 24B on Mar 17, 2025. Its training data runs to Jun 2024.

What are the best alternatives to Mistral Small 3.1 24B?

The closest current models from other labs on capability, price and release date are Llama 4 Scout 17B Instruct (Meta, ECI 129.7, $0.225 / $0.69), GPT-4o mini (OpenAI, ECI 126.6, $0.15 / $0.60), Gemma 3 27B IT (Google, ECI 130.0, $0.08 / $0.20) and Claude Haiku 3.5 (Anthropic, ECI 127.2).