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Mistral · Open weights

Mistral Small 3 24B (2501)

Added Sep 10, 2026Open weights

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Use in the app

Mistral Small 3 24B (2501) hosted by IONOS in Berlin, Germany. Zero data retention.

  • Tools
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.12
Output
$0.35

Reference prices as published by the model provider. API example

Specifications

Context window
32.8K
Max output
8.2K
Average output (7 days)
403 tokens
Longer than 40% of 468 models

Side by side

Mistral Small 3 24B (2501) compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Mistral Small 3 24B (2501)MistralThis modelMistral Small 3.1 24B (2503)MistralRemove
ProviderMistralMistral
Discovery tierOpen weightsOpen weights
AddedSep 10, 2026Apr 15, 2025
Limits
Context window32.77K128KBest
Max output8.19K102.4KBest
Average output403 tokens—
Pricing, USD per 1M tokens
Input$0.12$0.10Best
Output$0.35$0.30Best
Performance
Request success (24h)—99.7%
Benchmark indexes
Intelligence Index6.7—
Math Index4.3—
Capabilities
ToolsYesNo
VisionNoYes
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Mistral Small 3 24B (2501)
  • Mistral Small 3.1 24B (2503)

Intelligence Index

  • Mistral Small 3 24B (2501)6.7
  • Mistral Small 3.1 24B (2503)—

Mistral Small 3 24B (2501): Better than 6% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Mistral Small 3 24B (2501): 4.3
    • Mistral Small 3.1 24B (2503): —

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Mistral Small 3 24B (2501): 0.0%
    • Mistral Small 3.1 24B (2503): —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Mistral Small 3 24B (2501): 3.8%
    • Mistral Small 3.1 24B (2503): —

  • GPQA Diamond

    Graduate-level science questions

    • Mistral Small 3 24B (2501): 46.2%
    • Mistral Small 3.1 24B (2503): —

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Mistral Small 3 24B (2501): 65.2%
    • Mistral Small 3.1 24B (2503): —

  • IFBench

    Following precise output instructions

    • Mistral Small 3 24B (2501): 26.4%
    • Mistral Small 3.1 24B (2503): —

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Mistral Small 3 24B (2501): 25.2%
    • Mistral Small 3.1 24B (2503): —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Mistral Small 3 24B (2501): 4.3%
    • Mistral Small 3.1 24B (2503): —

  • AIME

    Competition mathematics

    • Mistral Small 3 24B (2501): 8.0%
    • Mistral Small 3.1 24B (2503): —

  • MATH-500

    Competition math problems

    • Mistral Small 3 24B (2501): 71.5%
    • Mistral Small 3.1 24B (2503): —

Legacy evaluations

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Mistral Small 3 24B (2501): 19.6%
    • Mistral Small 3.1 24B (2503): —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Mistral Small 3 24B (2501): 0.0%
    • Mistral Small 3.1 24B (2503): —

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/mistral-small-24b-instruct-2501",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="mistralai/mistral-small-24b-instruct-2501",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Mistral

Other Mistral models, starting with the same family.