Command R 08-2024

Command-R is a conversational model known for its high quality performance in language tasks, offering improved reliability and longer context compared to previous models. This model has a context size of 128k and excels in tasks like code generation, retrieval augmented generation (RAG), tool use, and agents, facilitating complex workflows effectively.

Model card on Hugging Face

Input / output price: $0.15 / $0.60 per 1M
Context: 128K tokens
Released: Aug 30, 2024

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Agent setup

Paste into Claude Code, Cursor, or Codex

Help me set up the Respan gateway: fetch and follow https://www.respan.ai/docs/agent-setup.md. Use model "cohere/command-r-08-2024".

from openai import OpenAI

client = OpenAI(

    base_url="https://api.respan.ai/api/",

    api_key="YOUR_RESPAN_API_KEY",

)

response = client.chat.completions.create(

    model="cohere/command-r-08-2024",

    messages=[{"role": "user", "content": "Hello!"}],

)

print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({

  baseURL: "https://api.respan.ai/api/",

  apiKey: "YOUR_RESPAN_API_KEY",

});

const response = await client.chat.completions.create({

  model: "cohere/command-r-08-2024",

  messages: [{ role: "user", content: "Hello!" }],

});

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

curl https://api.respan.ai/api/chat/completions \

  -H "Authorization: Bearer YOUR_RESPAN_API_KEY" \

  -H "Content-Type: application/json" \

  -d '{

    "model": "cohere/command-r-08-2024",

    "messages": [{"role": "user", "content": "Hello!"}]

}'

Read docs

Providers

2 providers, cheapest first, OpenRouter last, priced per 1M tokens after gateway discounts.

Provider	Context	Input	Output	Cache read	Capabilities
Cohere`cohere/command-r-08-2024`	128K	$0.15/M	$0.60/M	$0.015/M
OpenRouter`openrouter/command-r-08-2024`	128K	$0.15/M	$0.60/M	$0.0375/M

Is a provider down? Cohere status, OpenRouter status

Pricing

Averaged across 2 providers, in USD per 1M tokens after gateway discounts.

Average input: $0.15 per 1M
Average output: $0.60 per 1M
Average cache read: $0.03 per 1M

Cost by volume

Total cost from 0 to 1T tokens.

$0.15/MCohere and OpenRouter

Throughput and latency

30-day averages from requests through the Respan gateway. Under each figure, every model on the gateway by its average, this one in blue.

Output speed

Higher is better

13tokens/sacross providers

Faster than 16% of the other 329 models on the gateway

Response latency

Lower is better

2.9sacross providers

Faster than 51% of the other 375 models on the gateway

Benchmarks

1 published score from 1 source, each linked to where it was published.

Published scores

Benchmark	Score	Source	Published
LMArena EloLMArena	1163 Elo · #164 of 164	LMArena	Sep 13, 2026

Apps

Use Command R 08-2024 in the tools you already run. Each guide points the app at the Respan gateway.

Setup guides for more apps are in the integration docs.

Command R 08-2024 FAQ

Short answers, built from the data on this page.

Command R 08-2024 is a model from Cohere, released on Aug 30, 2024. Command-R is a conversational model known for its high quality performance in language tasks, offering improved reliability and longer context compared to previous models. This model has a context size of 128k and excels in tasks like code generation, retrieval augmented generation (RAG), tool use, and agents, facilitating complex workflows effectively.

On the Respan gateway, Command R 08-2024 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens on every provider, after gateway discounts.

Command R 08-2024 is available through 2 providers: Cohere and OpenRouter.

Command R 08-2024 accepts up to 128K tokens of context on its largest provider route.

Point any OpenAI-compatible SDK at https://api.respan.ai/api/ with your Respan API key and set the model to "cohere/command-r-08-2024". To set it up with a coding agent, copy the agent setup prompt at the top of this page.

Command R 08-2024 has 1 published benchmark score, including LMArena Elo 1163. Each score links to where it was published; the data is collected by Respan.