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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 465 models

Side by side

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Public evaluations

Benchmarks

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

Intelligence Index

6.7

Better than 6% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    4.3

    Composite of the math evaluations

    Better than 0% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    0.0%

    Reasoning across long documents

    Better than 0% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    3.8%

    Expert-level questions across academic fields

    Better than 5% of 323 scored models

  • GPQA Diamond

    46.2%

    Graduate-level science questions

    Better than 6% of 291 scored models

  • MMLU-Pro

    65.2%

    Multi-subject knowledge and reasoning

    Better than 13% of 132 scored models

  • IFBench

    26.4%

    Following precise output instructions

    Better than 1% of 215 scored models

Coding

  • LiveCodeBench

    25.2%

    Recent competitive programming problems

    Better than 13% of 129 scored models

Math

  • AIME 2025

    4.3%

    Competition mathematics, 2025 problems

    Better than 0% of 118 scored models

  • AIME

    8.0%

    Competition mathematics

    Better than 12% of 72 scored models

  • MATH-500

    71.5%

    Competition math problems

    Better than 15% of 73 scored models

Legacy evaluations

  • τ²-Bench Telecom

    19.6%

    Tool use in a customer-support simulation

    Better than 8% of 214 scored models

  • AA-LCR (unversioned)

    0.0%

    Long-context reasoning, earlier grading

    Better than 0% of 309 scored models

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

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