Cohere: Command R (08-2024)
cohere/command-r-08-2024
Try Command R (08-2024) for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "cohere/command-r-08-2024"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "cohere/command-r-08-2024"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Command R 08-2024 is a 32-billion-parameter generative language model from Cohere, optimized for complex reasoning, retrieval-augmented generation, multilingual tasks, and tool use across a 128K token context window.
Compared to its predecessor, this version delivers approximately 50% higher throughput and 20% lower latency while showing competitive performance on math, code, and reasoning tasks. It supports 23 languages.
For API developers, it is a practical mid-tier option that balances capability and cost — well-suited for question answering, summarization, and RAG-based applications.
Context Window 128K
tokens
Max Output 4K
tokens
Input Cost $0.15
per million tokens
Output Cost $0.6
per million tokens
Input text
modalities
Tool Use Yes
Release Date Aug 30, 2024
Try Command R (08-2024) for free
Try Command R (08-2024) instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Cohere
Command A+
Command A+ is Cohere's newest flagship model, a sparse mixture-of-experts architecture with 218 billion total parameters and 25 billion active per token, released in 2026 as a successor to Command A. It extends language coverage from 23 to 48 languages, including all official EU languages, and adds image understanding alongside text, complex reasoning, and agentic tool use in a single model. Cohere reports higher scores on agentic benchmarks compared to its own Command A Reasoning model, including 85% on Tau2-Bench Telecom (up from 37%) and 25% on Terminal-Bench Hard (up from 3%), plus a score of 37 on the Artificial Analysis Intelligence Index. With a 192,000 token context window and 64,000 token max output, it suits developers building multilingual enterprise assistants, RAG pipelines, and multi-step tool-calling agents who need reasoning, vision, and tool use in one model.
ChatNorth Mini Code
Cohere North Mini Code is an open-weight agentic coding model from Cohere Labs, built on a sparse Mixture-of-Experts architecture with 30B total parameters and 3B active per token. It is optimized for code generation, agentic software engineering workflows — including sub-agent orchestration, multi-file analysis, and code review — and real terminal tasks. On the Artificial Analysis Coding Index it scores 33.4, outperforming open-source models up to 4x its size. It delivers 2.8x higher throughput and 30% lower inter-token latency than Devstral Small 2. With a 256K context window and 64K max output, it suits developers building AI coding agents or automated engineering pipelines. Released under Apache 2.0.
ChatCommand A
Command A is Cohere's flagship enterprise language model with 111 billion parameters and a 256K token context window, released in March 2025. Built for complex agentic workflows, it leads on tool-use benchmarks including BFCL-v3 and Tau-bench, and performs on par with GPT-4o on MMLU and SQL tasks. It is particularly strong at multi-step tool calling — including knowing when not to invoke a tool, a critical quality for production agents. Supporting 23 languages with 150% higher throughput than Command R+, it's a strong choice for developers building RAG pipelines, autonomous agents, or multilingual enterprise applications.
Frequently Asked Questions
You can access Command R (08-2024) by Cohere through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Command R (08-2024) is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Command R (08-2024) is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.15 |
| Output | $0.6 |
Command R (08-2024) was created by Cohere and released on Aug 30, 2024.
Command R (08-2024) supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.
Command R (08-2024) can generate up to 4K tokens in a single response.
Command R (08-2024) accepts the following input types: text. It produces: text.
Yes, Command R (08-2024) supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Command R (08-2024) API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Add Command R (08-2024) to your app for free
Developers can integrate Command R (08-2024) for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.