For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
DASHBOARDPLAYGROUNDDOCSCOMMUNITYLOG IN
Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks
Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks
  • Get Started
    • Introduction
    • Installation
    • Creating a client
    • Playground
    • FAQs
  • Models
    • An Overview of Cohere's Models
      • Command A+
      • Command A
      • Command A Reasoning
      • Command A Translate
      • Command A Vision
      • Command R7B
      • Command R+
      • Command R
    • Embed
    • Rerank
    • Aya
  • Text Generation
    • Introduction to Text Generation at Cohere
    • Using the Chat API
    • Streaming Responses
    • Structured Outputs
    • Predictable Outputs
    • Advanced Generation Parameters
    • Retrieval Augmented Generation (RAG)
    • Tool Use
    • Tokens and Tokenizers
    • Migrating from the Generate API to the Chat API
    • Summarizing Text
    • Safety Modes
  • Embeddings (Vectors, Search, Retrieval)
    • Introduction to Embeddings at Cohere
    • Semantic Search with Embeddings
    • Multimodal Embeddings
    • Batch Embedding Jobs
  • Going to Production
    • API Keys and Rate Limits
    • Going Live
    • Deprecations
    • How Does Cohere's Pricing Work?
  • Integrations
    • Integrating Embedding Models with Other Tools
    • Cohere and LangChain
    • LlamaIndex and Cohere
  • Deployment Options
    • Overview
    • SDK Compatibility
  • Tutorials
    • Cookbooks
    • LLM University
    • Build Things with Cohere!
  • Responsible Use
    • Security
    • Usage Policy
    • Command A Technical Report
    • Command R and Command R+ Model Card
  • Cohere Labs
    • Cohere Labs Acceptable Use Policy
  • More Resources
    • Cohere Toolkit
    • Datasets
    • Improve Cohere Docs
LogoLogodocs
DASHBOARDPLAYGROUNDDOCSCOMMUNITYLOG IN
On this page
  • Description
  • What Can Command A Reasoning Be Used For?
ModelsCommand

Cohere's Command A Reasoning Model

Was this page helpful?
Edit this page
Previous

Cohere's Command A Translate Model

Next
Built with
Capabilities
ReasoningMultilingualSafety ModesCitationsTool UseStructured OutputsImage Inputs
Pricing

For both trial keys and production keys, Command A Reasoning is free until rate limits are reached. Learn more about rate limits for different models and key types here.

Command A Reasoning can be used in production through Cohere's Model Vault.

Specifications
    Context Window: 256,000 tokens
    Max Output Tokens: 32,000 tokens
    Knowledge Cutoff: June 1, 2024
API Endpoints
Model ID
command-a-reasoning-08-2025
Chat V2Chat CompletionsChat V1
Try in Playground

Description

Command A Reasoning is Cohere’s first reasoning model to date, excelling at real world enterprise tasks including tool use, retrieval augmented generation (RAG), agents, and multilingual use cases. At 111B parameters, Command A has a context length of 256K. Command-a-Reasoning (CAR) is optimized to run on 4x H100 GPUs for production workloads. For non-production tasks such as tryouts and evaluations, it can also run on 4x A100 GPUs.

What Can Command A Reasoning Be Used For?

Command A is excellent for:

  • Agentic Use Cases: Taking autonomous actions and interacting with the environment to solve problems.
  • Tool Use: Able to leverage a variety of tools, such as search engines and APIs.
  • Multilingual: Able to reason over multilingual inputs, providing support to user queries in 23 different languages.

There’s more to be said about token budgets, enabling and disabling the thinking operation, etc., which can be found in our dedicated Reasoning guide.