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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 4 119B ThinkingMistralRemove
ProviderMistralMistral
Discovery tierOpen weightsOpen weights
AddedSep 10, 2026Mar 17, 2026
Limits
Context window32.77K262.14KBest
Max output8.19K16.38KBest
Average output403 tokens997 tokens
Pricing, USD per 1M tokens
Input$0.12Best$0.40
Output$0.35Best$1.40
Performance
Throughput—126.8 tok/s
Time to first token—3.0 s
Request success (24h)—96.0%
Benchmark indexes
Intelligence Index6.711.3Best
Coding Index—26.6
Math Index4.3—
Capabilities
ReasoningNoYes
ToolsYesYes
VisionNoYes
Structured outputNoYes
Reasoning effort—none, high

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 4 119B Thinking

Intelligence Index

  • Mistral Small 3 24B (2501)6.7
  • Mistral Small 4 119B Thinking11.3

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

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Mistral Small 3 24B (2501): —
    • Mistral Small 4 119B Thinking: 26.6

  • Math Index

    Composite of the math evaluations

    • Mistral Small 3 24B (2501): 4.3
    • Mistral Small 4 119B Thinking: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Mistral Small 3 24B (2501): —
    • Mistral Small 4 119B Thinking: 1.0%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Mistral Small 3 24B (2501): —
    • Mistral Small 4 119B Thinking: 0.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Mistral Small 3 24B (2501): —
    • Mistral Small 4 119B Thinking: 241 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Mistral Small 3 24B (2501): —
    • Mistral Small 4 119B Thinking: 362 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Mistral Small 3 24B (2501): —
    • Mistral Small 4 119B Thinking: 0.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • Mistral Small 3 24B (2501): 0.0%
    • Mistral Small 4 119B Thinking: 49.7%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Mistral Small 3 24B (2501): —
    • Mistral Small 4 119B Thinking: 1.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Mistral Small 3 24B (2501): 3.8%
    • Mistral Small 4 119B Thinking: 9.9%Top

  • GPQA Diamond

    Graduate-level science questions

    • Mistral Small 3 24B (2501): 46.2%
    • Mistral Small 4 119B Thinking: 76.9%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Mistral Small 3 24B (2501): 65.2%
    • Mistral Small 4 119B Thinking: —

  • IFBench

    Following precise output instructions

    • Mistral Small 3 24B (2501): 26.4%
    • Mistral Small 4 119B Thinking: 48.2%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Mistral Small 3 24B (2501): —
    • Mistral Small 4 119B Thinking: 0.0%

  • SciCode

    Scientific computing in Python

    • Mistral Small 3 24B (2501): —
    • Mistral Small 4 119B Thinking: 38.8%

  • LiveCodeBench

    Recent competitive programming problems

    • Mistral Small 3 24B (2501): 25.2%
    • Mistral Small 4 119B Thinking: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Mistral Small 3 24B (2501): 4.3%
    • Mistral Small 4 119B Thinking: —

  • AIME

    Competition mathematics

    • Mistral Small 3 24B (2501): 8.0%
    • Mistral Small 4 119B Thinking: —

  • MATH-500

    Competition math problems

    • Mistral Small 3 24B (2501): 71.5%
    • Mistral Small 4 119B Thinking: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Mistral Small 3 24B (2501): —
    • Mistral Small 4 119B Thinking: 17.4%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Mistral Small 3 24B (2501): 19.6%
    • Mistral Small 4 119B Thinking: 41.2%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Mistral Small 3 24B (2501): 0.0%
    • Mistral Small 4 119B Thinking: 49.7%Top

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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