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Devstral 2 123B

Added Dec 9, 2025Open weights

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Use in the app

Devstral 2 123B is a 123 billion parameter model from Mistral AI optimized for coding and development tasks. Features advanced reasoning capabilities for software engineering workflows.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.40
Output
$1.40

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
65.5K
Average output (7 days)
120 tokens
Longer than 11% of 468 models

Side by side

Devstral 2 123B compared

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

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Devstral 2 123BMistralThis modelAmazon Nova 2 LiteamazonRemove
ProviderMistralamazon
Discovery tierOpen weightsEfficient
AddedDec 9, 2025Jan 1, 2024
Limits
Context window262.14K1MBest
Max output65.54KBest65.54K
Average output120 tokens—
Pricing, USD per 1M tokens
Input$0.40Best$0.51
Output$1.40Best$4.25
Performance
Request success (24h)99.7%—
Benchmark indexes
Intelligence Index8.68.7Best
Coding Index31.3—
Math Index36.7Best33.7
Capabilities
Reasoning effort——

Public evaluations

Benchmarks

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

  • Devstral 2 123B
  • Amazon Nova 2 Lite

Intelligence Index

  • Devstral 2 123B8.6
  • Amazon Nova 2 Lite8.7

Devstral 2 123B: Better than 15% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Devstral 2 123B: 31.3
    • Amazon Nova 2 Lite: —

  • Math Index

    Composite of the math evaluations

    • Devstral 2 123B: 36.7Top
    • Amazon Nova 2 Lite: 33.7

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Devstral 2 123B: 3.1%
    • Amazon Nova 2 Lite: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Devstral 2 123B: 0.0%
    • Amazon Nova 2 Lite: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Devstral 2 123B: 482 Elo
    • Amazon Nova 2 Lite: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Devstral 2 123B: 544 Elo
    • Amazon Nova 2 Lite: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Devstral 2 123B: 2.4%
    • Amazon Nova 2 Lite: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Devstral 2 123B: 32.3%Top
    • Amazon Nova 2 Lite: 18.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Devstral 2 123B: 3.6%Top
    • Amazon Nova 2 Lite: 2.9%

  • GPQA Diamond

    Graduate-level science questions

    • Devstral 2 123B: 59.4%
    • Amazon Nova 2 Lite: 60.3%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Devstral 2 123B: 76.2%Top
    • Amazon Nova 2 Lite: 74.3%

  • IFBench

    Following precise output instructions

    • Devstral 2 123B: 38.1%
    • Amazon Nova 2 Lite: 40.5%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Devstral 2 123B: 0.0%
    • Amazon Nova 2 Lite: —

  • SciCode

    Scientific computing in Python

    • Devstral 2 123B: 32.8%
    • Amazon Nova 2 Lite: —

  • LiveCodeBench

    Recent competitive programming problems

    • Devstral 2 123B: 44.8%Top
    • Amazon Nova 2 Lite: 34.6%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Devstral 2 123B: 36.7%Top
    • Amazon Nova 2 Lite: 33.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Devstral 2 123B: 18.9%Top
    • Amazon Nova 2 Lite: 6.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Devstral 2 123B: 24.9%
    • Amazon Nova 2 Lite: 62.0%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Devstral 2 123B: 32.3%Top
    • Amazon Nova 2 Lite: 18.7%

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.

Prompt cache hits
0.0%
Request success (24h)
99.7%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 20.0%
  • 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/devstral-2-123b-instruct-2512",
    "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/devstral-2-123b-instruct-2512",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Mistral

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