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Mistral · Open weights

Mistral Code Agent Latest

Added Jun 2, 2026Open weights

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Use in the app

Mistral Code Agent Latest is Mistral's direct API alias for devstral-2512, an agentic coding model built for autonomous software engineering, tool use, and long-running code tasks.

  • Tools
  • Structured output
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.40
Output
$2.00

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
32.8K
Average output (7 days)
316 tokens
Longer than 34% of 468 models

Side by side

Mistral Code Agent Latest compared

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

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Mistral Code Agent LatestMistralThis modelMistral Large 4MistralRemove
ProviderMistralMistral
Discovery tierOpen weightsOpen weights
AddedJun 2, 2026Oct 6, 2026
Limits
Context window262.14K524.29KBest
Max output32.77K—
Average output316 tokens—
Pricing, USD per 1M tokens
Input$0.40Best$0.68
Output$2.00Best$2.09
Cache read—$0.07
Performance
Request success (24h)100.0%Best68.9%
Benchmark indexes
Intelligence Index8.6—
Coding Index31.3—
Math Index36.7—
Capabilities
ReasoningNoYes
ToolsYesYes
VisionNoYes
Structured outputYesYes
Reasoning effort—none, high

Public evaluations

Benchmarks

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

  • Mistral Code Agent Latest
  • Mistral Large 4

Intelligence Index

  • Mistral Code Agent Latest8.6
  • Mistral Large 4—

Mistral Code Agent Latest: Better than 15% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Mistral Code Agent Latest: 31.3
    • Mistral Large 4: —

  • Math Index

    Composite of the math evaluations

    • Mistral Code Agent Latest: 36.7
    • Mistral Large 4: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Mistral Code Agent Latest: 3.1%
    • Mistral Large 4: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Mistral Code Agent Latest: 0.0%
    • Mistral Large 4: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Mistral Code Agent Latest: 482 Elo
    • Mistral Large 4: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Mistral Code Agent Latest: 544 Elo
    • Mistral Large 4: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Mistral Code Agent Latest: 2.4%
    • Mistral Large 4: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Mistral Code Agent Latest: 32.3%
    • Mistral Large 4: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Mistral Code Agent Latest: 3.6%
    • Mistral Large 4: —

  • GPQA Diamond

    Graduate-level science questions

    • Mistral Code Agent Latest: 59.4%
    • Mistral Large 4: —

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Mistral Code Agent Latest: 76.2%
    • Mistral Large 4: —

  • IFBench

    Following precise output instructions

    • Mistral Code Agent Latest: 38.1%
    • Mistral Large 4: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Mistral Code Agent Latest: 0.0%
    • Mistral Large 4: —

  • SciCode

    Scientific computing in Python

    • Mistral Code Agent Latest: 32.8%
    • Mistral Large 4: —

  • LiveCodeBench

    Recent competitive programming problems

    • Mistral Code Agent Latest: 44.8%
    • Mistral Large 4: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Mistral Code Agent Latest: 36.7%
    • Mistral Large 4: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Mistral Code Agent Latest: 18.9%
    • Mistral Large 4: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Mistral Code Agent Latest: 24.9%
    • Mistral Large 4: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Mistral Code Agent Latest: 32.3%
    • Mistral Large 4: —

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 93.3%
  • 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": "mistral-code-agent-latest",
    "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="mistral-code-agent-latest",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Mistral

Other Mistral models, starting with the same family.