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cohere · Balanced

Cohere: Command R+

Added Jan 1, 2024

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Use in the app

104B parameter model that performs conversational language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$2.86
Output
$14.25

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
4.1K
Average output (7 days)
146 tokens
Longer than 15% of 468 models

Side by side

Cohere: Command R+ compared

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

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Cohere: Command R+cohereThis modelMinistral 8BMistralRemove
ProvidercohereMistral
Discovery tierBalancedOpen weights
AddedJan 1, 2024Dec 4, 2025
Limits
Context window128K262.14KBest
Max output4.1K32.77KBest
Average output146 tokens40 tokens
Pricing, USD per 1M tokens
Input$2.86$0.15Best
Output$14.25$0.15Best
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index5.35.5Best
Coding Index—9.7
Math Index—31.7
Capabilities
Reasoning effort——

Public evaluations

Benchmarks

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

  • Cohere: Command R+
  • Ministral 8B

Intelligence Index

  • Cohere: Command R+5.3
  • Ministral 8B5.5

Cohere: Command R+: Better than 1% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Cohere: Command R+: —
    • Ministral 8B: 9.7

  • Math Index

    Composite of the math evaluations

    • Cohere: Command R+: —
    • Ministral 8B: 31.7

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Cohere: Command R+: —
    • Ministral 8B: 0.5%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Cohere: Command R+: —
    • Ministral 8B: 0.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Cohere: Command R+: —
    • Ministral 8B: 77 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Cohere: Command R+: —
    • Ministral 8B: 213 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Cohere: Command R+: —
    • Ministral 8B: 0.8%

  • AA-LCRv1.1

    Reasoning across long documents

    • Cohere: Command R+: —
    • Ministral 8B: 25.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • Cohere: Command R+: —
    • Ministral 8B: 0.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Cohere: Command R+: 4.6%Top
    • Ministral 8B: 4.3%

  • GPQA Diamond

    Graduate-level science questions

    • Cohere: Command R+: 32.3%
    • Ministral 8B: 47.1%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Cohere: Command R+: 43.2%
    • Ministral 8B: 64.2%Top

  • IFBench

    Following precise output instructions

    • Cohere: Command R+: —
    • Ministral 8B: 29.1%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Cohere: Command R+: —
    • Ministral 8B: 0.0%

  • SciCode

    Scientific computing in Python

    • Cohere: Command R+: —
    • Ministral 8B: 20.7%

  • LiveCodeBench

    Recent competitive programming problems

    • Cohere: Command R+: 12.2%
    • Ministral 8B: 30.3%Top

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Cohere: Command R+: —
    • Ministral 8B: 31.7%

  • AIME

    Competition mathematics

    • Cohere: Command R+: 0.7%
    • Ministral 8B: —

  • MATH-500

    Competition math problems

    • Cohere: Command R+: 27.9%
    • Ministral 8B: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Cohere: Command R+: —
    • Ministral 8B: 4.5%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Cohere: Command R+: —
    • Ministral 8B: 26.6%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Cohere: Command R+: —
    • Ministral 8B: 25.7%

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": "cohere/command-r-plus-08-2024",
    "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="cohere/command-r-plus-08-2024",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

cohere

Other cohere models, starting with the same family.