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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 modelGemini 2.0 Pro 0205GoogleRemove
ProviderMistralGoogle
Discovery tierOpen weightsBalanced
AddedJun 2, 2026Feb 5, 2025
Limits
Context window262.14K2.1MBest
Max output32.77KBest8.19K
Average output316 tokens—
Pricing, USD per 1M tokens
Input$0.40Best$1.99
Output$2.00Best$7.96
Cache read—$0.50
Performance
Request success (24h)100.0%—
Benchmark indexes
Intelligence Index8.68.7Best
Coding Index31.3Best25.5
Math Index36.7—
Capabilities
ToolsYesNo
VisionNoYes
Structured outputYesNo
Audio inputNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Mistral Code Agent Latest
  • Gemini 2.0 Pro 0205

Intelligence Index

  • Mistral Code Agent Latest8.6
  • Gemini 2.0 Pro 02058.7

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: 31.3Top
    • Gemini 2.0 Pro 0205: 25.5

  • Math Index

    Composite of the math evaluations

    • Mistral Code Agent Latest: 36.7
    • Gemini 2.0 Pro 0205: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Mistral Code Agent Latest: 3.1%
    • Gemini 2.0 Pro 0205: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Mistral Code Agent Latest: 0.0%
    • Gemini 2.0 Pro 0205: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Mistral Code Agent Latest: 482 Elo
    • Gemini 2.0 Pro 0205: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Mistral Code Agent Latest: 544 Elo
    • Gemini 2.0 Pro 0205: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Mistral Code Agent Latest: 2.4%
    • Gemini 2.0 Pro 0205: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Mistral Code Agent Latest: 32.3%
    • Gemini 2.0 Pro 0205: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Mistral Code Agent Latest: 3.6%
    • Gemini 2.0 Pro 0205: 6.2%Top

  • GPQA Diamond

    Graduate-level science questions

    • Mistral Code Agent Latest: 59.4%
    • Gemini 2.0 Pro 0205: 62.2%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Mistral Code Agent Latest: 76.2%
    • Gemini 2.0 Pro 0205: 80.5%Top

  • IFBench

    Following precise output instructions

    • Mistral Code Agent Latest: 38.1%
    • Gemini 2.0 Pro 0205: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Mistral Code Agent Latest: 0.0%
    • Gemini 2.0 Pro 0205: —

  • SciCode

    Scientific computing in Python

    • Mistral Code Agent Latest: 32.8%
    • Gemini 2.0 Pro 0205: —

  • LiveCodeBench

    Recent competitive programming problems

    • Mistral Code Agent Latest: 44.8%Top
    • Gemini 2.0 Pro 0205: 34.7%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Mistral Code Agent Latest: 36.7%
    • Gemini 2.0 Pro 0205: —

  • AIME

    Competition mathematics

    • Mistral Code Agent Latest: —
    • Gemini 2.0 Pro 0205: 36.0%

  • MATH-500

    Competition math problems

    • Mistral Code Agent Latest: —
    • Gemini 2.0 Pro 0205: 92.3%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Mistral Code Agent Latest: 18.9%
    • Gemini 2.0 Pro 0205: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Mistral Code Agent Latest: 24.9%
    • Gemini 2.0 Pro 0205: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Mistral Code Agent Latest: 32.3%
    • Gemini 2.0 Pro 0205: —

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

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