NOUMENOpen app
NOUMEN

Mistral · Open weights

Mistral Small 3.2 24B (2506)

Added Apr 15, 2025Open weights

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

The latest iteration of Mistral Small, version 3.2 (2506) brings enhanced performance and capabilities. With 24 billion parameters, this model delivers state-of-the-art results across text generation tasks with improved efficiency.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.20
Output
$0.40

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
16.4K

Side by side

Mistral Small 3.2 24B (2506) compared

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

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Mistral Small 3.2 24B (2506)MistralThis modelMistral Code Agent LatestMistralRemove
ProviderMistralMistral
Discovery tierOpen weightsOpen weights
AddedApr 15, 2025Jun 2, 2026
Limits
Context window128K262.14KBest
Max output16.38K32.77KBest
Average output—316 tokens
Pricing, USD per 1M tokens
Input$0.20Best$0.40
Output$0.40Best$2.00
Performance
Request success (24h)100.0%100.0%
Benchmark indexes
Intelligence Index—8.6
Coding Index—31.3
Math Index—36.7
Capabilities
ToolsNoYes
Structured outputNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Mistral Small 3.2 24B (2506)
  • Mistral Code Agent Latest

Intelligence Index

  • Mistral Small 3.2 24B (2506)—
  • Mistral Code Agent Latest8.6
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 31.3

  • Math Index

    Composite of the math evaluations

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 36.7

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 3.1%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 0.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 482 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 544 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 2.4%

  • AA-LCRv1.1

    Reasoning across long documents

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 32.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 3.6%

  • GPQA Diamond

    Graduate-level science questions

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 59.4%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 76.2%

  • IFBench

    Following precise output instructions

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 38.1%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 0.0%

  • SciCode

    Scientific computing in Python

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 32.8%

  • LiveCodeBench

    Recent competitive programming problems

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 44.8%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 36.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 18.9%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 24.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Mistral Small 3.2 24B (2506): —
    • Mistral Code Agent Latest: 32.3%

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

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Request success (24h)
100.0%
Reliable
Hourly request success · last 72 hoursLowest hour 100.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

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-3.2-24b-instruct",
    "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-3.2-24b-instruct",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Mistral

Other Mistral models, starting with the same family.