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.
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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
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On this page
  • Description
  • What Can Command A+ Be Used For?
ModelsCommand

Cohere's Command A Plus Model

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Command A

Our largest, most performant model, ideal for building enterprise agents with a low compute footprint.
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Built with
Capabilities
ReasoningMultilingualImage InputsSafety ModesCitationsTool UseStructured Outputs
Pricing

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

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

Specifications
    Context Window: 128,000 tokens
    Max Output Tokens: 64,000 tokens
    Knowledge Cutoff: April 1, 2025
API Endpoints
Model ID
command-a-plus-05-2026
Chat V2Chat CompletionsChat V1
Try in Playground

Description

Command A+ is Cohere’s first Mixture of Experts model, bringing together the power of a strong agentic model, supporting vision and text on input, and expanding the language support to 48 languages, including all of the official European Union languages. With the MoE architecture, the model brings balance with providing a highly accurate user experience, while balancing out the need for enterprises to have a high throughput, low latency solution that minimizes the amount of GPUs required per instance, offering 1xB200 / 2xH100 support.

What Can Command A+ Be Used For?

Command A+ is excellent for:

  • Complex, Multimodal Agentic Tasks: With mixed modality (vision / text) inputs, the model can autonomously take actions and interact with its environment to solve complex tasks.
  • Multilingual Tasks: With support for 48 languages, combined with the model’s reasoning, agentic problem solving & vision processing capabilities, Command A+ expands not only the number of languages supported, but what enterprises across the globe can do with Cohere’s models.
  • Balancing Accuracy & Efficiency: Providing support for deploying the model with as few as a single B200 or two H100 chips, and with vast improvements in reasoning, image processing, and agentic tasks over the rest of the Command A family, Command A+ is the fastest and most performant model in the Command A family by far.

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.