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Command A

Verified

Cohere's Command A handles long-context text tasks with precision.

CohereLanguage ModelsClosed
Model page
Updated 2026-06-15

About Command A

Command A is designed as a text-only LLM without open weights. Its architecture supports a 256000-token context window that accommodates lengthy inputs. This setup enables coherent handling of extended sequences without external retrieval systems.

The model excels in tasks that demand retention of information across large volumes of text. It maintains consistency over long interactions while avoiding unnecessary parameter disclosures. Users benefit from its focused design for reliable text generation.

Typical usage includes document analysis, summarization, and multi-turn conversations. Developers integrate it into applications needing substantial context retention. Its closed nature suits environments prioritizing controlled access and enterprise compliance.

Capabilities

Long-context text processing
Instruction following
Tool use and function calling
Retrieval-augmented generation
Document summarization
Multilingual text generation

How Command A compares

Command A (striped bar) vs other language models on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · Command A ranks #86 of 87

$3.3
Qwen3 Coder Plus
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Switchpoint Router
$3.8
Qwen3.7 Max
$3.9
Qwen3 Max
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Qwen3 Max Thinking
$4.0
GLM 5 Turbo
$6.0
Palmyra X5
$6.2
Qwen3.6 Max Preview
$8.0
Jamba Large 1.7
$8.0
Aion-1.0
$8.0
Sonar Deep Research
$10.0
Command A
$10.0
GPT-4o Search Preview

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long-Document Analysis

Command A handles inputs up to 256000 tokens, making it effective for summarizing lengthy reports, legal contracts, or research papers in a single pass.

Enterprise Retrieval-Augmented Generation

The model supports accurate grounding of responses against large knowledge bases, suiting internal company chatbots and knowledge assistants.

Extended Multi-Turn Conversations

Its context capacity allows sustained coherence across dozens of exchanges without losing earlier details in customer support or technical troubleshooting flows.

Strengths & limitations

Strengths

  • +Strong enterprise RAG optimization
  • +Reliable long-document handling
  • +Focus on factual grounding
  • +Safety-tuned outputs

Limitations

  • Text-only modality
  • Less emphasis on creative writing
  • Requires integration for multimodal tasks

Cost calculator

Estimate what Command A would cost for your usage.

$0.00750
per request
$75
estimated / month

Based on Command A's $2.50/1M input · $10.00/1M output. Estimate only — actual cost varies by provider and caching.

Quick start

OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.

JavaScript · openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "cohere/command-a",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: cohere/command-a

Editor's verdict

Our take on Command A

Command A is Cohere's proprietary language models with a 256K-token context window.

At $10.00 per 1M output tokens, it is premium-priced for its class.

It is available through Cohere's API and aggregators like OpenRouter.

Best suited to strong enterprise rag optimization and reliable long-document handling.

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Frequently asked questions

Command A provides a context length of 256000 tokens.

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