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Cohere Command A (08/2025)

Added Aug 22, 2025

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Use in the app

Cohere's first reasoning model designed for enterprise customer service and automation. 111B parameters with tool-use capabilities, supports 256K context and 23 languages including English, French, Spanish, Japanese, Arabic, and Hindi. Optimized for document processing, scheduling, data analysis, and more.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$2.50
Output
$10.00

Reference prices as published by the model provider. API example

Specifications

Context window
256K
Max output
8.2K
Average output (7 days)
371 tokens
Longer than 38% of 468 models

Side by side

Cohere Command A (08/2025) compared

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

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Cohere Command A (08/2025)cohereThis modelGemini 2.5 Pro Preview 0605GoogleRemove
ProvidercohereGoogle
Discovery tierBalancedBalanced
AddedAug 22, 2025Jun 5, 2025
Limits
Context window256K1.05MBest
Max output8.19K65.54KBest
Average output371 tokens727 tokens
Pricing, USD per 1M tokens
Input$2.50$2.50
Output$10.00$10.00
Cache read—$0.25
Performance
Request success (24h)—99.6%
Benchmark indexes
Intelligence Index—16.1
Coding Index—33.3
Math Index—87.7
Capabilities
ReasoningNoYes
VisionNoYes
Audio inputNoYes
Reasoning effort—low, medium, high

Public evaluations

Benchmarks

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

  • Cohere Command A (08/2025)
  • Gemini 2.5 Pro Preview 0605

Intelligence Index

  • Cohere Command A (08/2025)—
  • Gemini 2.5 Pro Preview 060516.1
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 33.3
  • Math Index

    Composite of the math evaluations

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 87.7

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 2.2%
  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 0.0%
  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 302 Elo
  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 455 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 10.2%
  • AA-LCRv1.1

    Reasoning across long documents

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 69.0%
  • MLCR-AA

    Long-context reasoning over medical records

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 12.2%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 22.5%
  • GPQA Diamond

    Graduate-level science questions

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 84.4%
  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 86.2%
  • IFBench

    Following precise output instructions

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 48.7%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 0.0%
  • SciCode

    Scientific computing in Python

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 46.3%
  • LiveCodeBench

    Recent competitive programming problems

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 80.1%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 87.7%
  • AIME

    Competition mathematics

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 88.7%
  • MATH-500

    Competition math problems

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 96.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 26.5%
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 54.1%
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Cohere Command A (08/2025): —
    • Gemini 2.5 Pro Preview 0605: 69.0%

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": "command-a-reasoning-08-2025",
    "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="command-a-reasoning-08-2025",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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