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Mistral · Balanced

Codestral 2508

Added Aug 1, 2025

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Use in the app

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$0.30
Output
$0.90

Reference prices as published by the model provider. API example

Specifications

Context window
256K
Max output
32.8K
Average output (7 days)
124 tokens
Longer than 12% of 468 models

Side by side

Codestral 2508 compared

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

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Codestral 2508MistralThis modelMistral Code Agent LatestMistralRemove
ProviderMistralMistral
Discovery tierBalancedOpen weights
AddedAug 1, 2025Jun 2, 2026
Limits
Context window256K262.14KBest
Max output32.77K32.77K
Average output124 tokens316 tokens
Pricing, USD per 1M tokens
Input$0.30Best$0.40
Output$0.90Best$2.00
Performance
Request success (24h)—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.

  • Codestral 2508
  • Mistral Code Agent Latest

Intelligence Index

  • Codestral 2508—
  • Mistral Code Agent Latest8.6
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Codestral 2508: —
    • Mistral Code Agent Latest: 31.3

  • Math Index

    Composite of the math evaluations

    • Codestral 2508: —
    • Mistral Code Agent Latest: 36.7

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Codestral 2508: —
    • Mistral Code Agent Latest: 3.1%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Codestral 2508: —
    • Mistral Code Agent Latest: 0.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Codestral 2508: —
    • Mistral Code Agent Latest: 482 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Codestral 2508: —
    • Mistral Code Agent Latest: 544 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Codestral 2508: —
    • Mistral Code Agent Latest: 2.4%

  • AA-LCRv1.1

    Reasoning across long documents

    • Codestral 2508: —
    • Mistral Code Agent Latest: 32.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Codestral 2508: —
    • Mistral Code Agent Latest: 3.6%

  • GPQA Diamond

    Graduate-level science questions

    • Codestral 2508: —
    • Mistral Code Agent Latest: 59.4%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Codestral 2508: —
    • Mistral Code Agent Latest: 76.2%

  • IFBench

    Following precise output instructions

    • Codestral 2508: —
    • Mistral Code Agent Latest: 38.1%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Codestral 2508: —
    • Mistral Code Agent Latest: 0.0%

  • SciCode

    Scientific computing in Python

    • Codestral 2508: —
    • Mistral Code Agent Latest: 32.8%

  • LiveCodeBench

    Recent competitive programming problems

    • Codestral 2508: —
    • Mistral Code Agent Latest: 44.8%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Codestral 2508: —
    • Mistral Code Agent Latest: 36.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Codestral 2508: —
    • Mistral Code Agent Latest: 18.9%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Codestral 2508: —
    • Mistral Code Agent Latest: 24.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Codestral 2508: —
    • Mistral Code Agent Latest: 32.3%

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/codestral-2508",
    "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/codestral-2508",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Mistral

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