# Command A (03-2025)

> Cohere's enterprise-grade 111B model for agents, RAG, and multilingual work — running on just two GPUs.

- Maker: Cohere
- Line: Command A
- Canonical page: https://ai-tldr.dev/models/command-a-03-2025/
- Updated: 2026-06-18

## In short

Command A (03-2025) is Cohere's enterprise-grade 111B model for agents, RAG, and multilingual work — running on just two GPUs. It has a 256K-token context window and costs $2.50 per million input tokens and $10.00 per million output tokens. You can use it through Cohere, Oracle Cloud Infrastructure (OCI) Generative AI and OpenRouter.

## Facts

| Fact | Value | Source |
| --- | --- | --- |
| Context window | 256K (max output 4K (on-demand); up to 256K in dedicated mode) | [1] |
| Input price | $2.50 / 1M tokens | [2] |
| Output price | $10.00 / 1M tokens | [2] |
| Licence | CC-BY-NC (Creative Commons Attribution-NonCommercial), plus Cohere Lab's Acceptable Use Policy · open weights | [1] |
| Released | 13 March 2025 | [3] |
| Parameters | 111B | [1] |

## Sources

1. [Hugging Face model card](https://huggingface.co/CohereLabs/c4ai-command-a-03-2025)
2. [OpenRouter: Command A pricing & providers](https://openrouter.ai/cohere/command-a)
3. [Announcing Command A (Cohere changelog)](https://docs.cohere.com/v2/changelog/command-a)

## Overview

Command A (model ID command-a-03-2025) is Cohere's flagship Command-line large language model, released on March 13, 2025. It is a 111-billion-parameter, text-only model built for real-world enterprise work — agents, retrieval-augmented generation (RAG), tool use, code, and multilingual tasks — and it ships with a 256,000-token context window for processing long documents.

Cohere's headline pitch for Command A is efficiency: it needs only two GPUs (A100s or H100s) to run and delivers roughly 150% higher throughput than its predecessor, Command R+ (08-2024). Cohere positions it as on par with or better than GPT-4o and DeepSeek-V3 on agentic enterprise tasks while being significantly cheaper to serve.

Command A supports 23 languages (including English, French, Spanish, German, Japanese, Korean, Chinese, Arabic, Russian, and Hindi) and is open-weights — the weights are published on Hugging Face under a CC-BY-NC license, with a hosted version available through Cohere's API as command-a-03-2025. A 55-page technical report, 'Command A: An Enterprise-Ready Large Language Model' (arXiv 2504.00698), documents its hybrid architecture and evaluations.

## Benchmarks

- GPQA Diamond: 50.51% ([source](https://huggingface.co/CohereLabs/c4ai-command-a-03-2025))

## Pricing

- Input: $2.50 / 1M tokens per 1M tokens
- Output: $10.00 / 1M tokens per 1M tokens

Hosted Cohere API pricing for command-a-03-2025; trial API keys are free, production keys are pay-as-you-go. Self-hosting the open weights has no per-token fee.

Source: https://openrouter.ai/cohere/command-a

## Strengths

- Strong agentic and tool-use performance aimed at enterprise REACT-style agents with multistep tool calls
- Built-in RAG with grounding and citations for conversational, document-backed answers
- 256K-token context window for long enterprise documents
- High efficiency — runs on just two A100/H100 GPUs with ~150% higher throughput than Command R+ (08-2024)
- Multilingual coverage across 23 languages
- Open weights available on Hugging Face for private/self-hosted deployment

## Best for

- Enterprise AI agents that call tools and APIs over multiple steps
- Retrieval-augmented generation over internal knowledge bases with citations
- Long-document analysis and summarization using the 256K context window
- Multilingual customer support and content generation across 23 languages
- Code generation and synthesis
- On-premise or private-cloud deployment where open weights and a low GPU footprint matter

## How to access

- [Cohere](https://docs.cohere.com/docs/command-a) — model id `command-a-03-2025`
- [Oracle Cloud Infrastructure (OCI) Generative AI](https://docs.oracle.com/en-us/iaas/Content/generative-ai/cohere-command-a-03-2025.htm) — model id `cohere.command-a-03-2025`
- [OpenRouter](https://openrouter.ai/cohere/command-a) — model id `cohere/command-a`
- [Hugging Face (open weights)](https://huggingface.co/CohereLabs/c4ai-command-a-03-2025) — model id `CohereLabs/c4ai-command-a-03-2025`

## Command A versions

- Command A (03-2025) (13 March 2025) — this page

## FAQ

### When was Command A (03-2025) released and who makes it?

Command A was released by Cohere on March 13, 2025. The model ID is command-a-03-2025, and it is the flagship of Cohere's Command line of enterprise large language models.

### How large is Command A and what context window does it support?

Command A has 111 billion parameters and a 256,000-token (256K) context window, letting it process long enterprise documents in a single prompt.

### Is Command A open weights, and what does it cost?

Yes — the weights are published on Hugging Face under a CC-BY-NC (non-commercial) license plus Cohere Lab's Acceptable Use Policy, so you can self-host. The hosted Cohere API is priced at about $2.50 per 1M input tokens and $10.00 per 1M output tokens.

### What is Command A best at?

Cohere built Command A for enterprise tasks: agentic tool use, retrieval-augmented generation (RAG) with grounding and citations, code, and multilingual work across 23 languages. A key selling point is efficiency — it runs on just two A100/H100 GPUs with roughly 150% higher throughput than Command R+ (08-2024).

## Links

- [Command A documentation (Cohere)](https://docs.cohere.com/docs/command-a)
- [Announcing Command A (Cohere changelog)](https://docs.cohere.com/v2/changelog/command-a)
- [Hugging Face model card](https://huggingface.co/CohereLabs/c4ai-command-a-03-2025)
- [Command A technical report (arXiv 2504.00698)](https://arxiv.org/abs/2504.00698)
- [OCI Generative AI: Command A 03-2025 spec](https://docs.oracle.com/en-us/iaas/Content/generative-ai/cohere-command-a-03-2025.htm)
- [OpenRouter: Command A pricing & providers](https://openrouter.ai/cohere/command-a)
- [Cohere Playground (dashboard)](https://dashboard.cohere.com/playground)

Source: AI/TLDR LLM registry, https://ai-tldr.dev/models/command-a-03-2025/