Command R (08-2024) API

cohere/command-r-08-2024
Command R (08-2024) on AIMLAPI.
Context
128K tokens
Input
$0.1587 / 1M tokens
Output
$0.6348 / 1M tokens
Released
Aug 30, 2024

Overview

What is Command R (08-2024) API?

Command R (08-2024) is available through AIMLAPI.

Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 128,000 tokens / Max output: 4,000 tokens
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

Command R (08-2024) API Pricing
- Input: $0.195 / 1M tokens
- Output: $0.78 / 1M tokens

Where to Use Command R (08-2024)

Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.

Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.

Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.

Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.

Code Sample
[embed]

Uptime and performance

  • Uptime (7d): 100%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

Command R (08-2024) is documented as suited for reasoning, summarization, and question answering. It is also documented for retrieval-augmented generation and other long-context knowledge tasks, including document summarization and content Q&A. The model is documented for tool use and agents, including complex workflows that involve code generation and multi-step tool interactions. It is also documented as optimized to interact with code, such as requesting code snippets, explanations, or rewrites.

How to use Command R (08-2024) API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to cohere/command-r-08-2024.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "cohere/command-r-08-2024",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "cohere/command-r-08-2024",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"cohere/command-r-08-2024","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Command R (08-2024) API Pricing

TypePrice
Input
$0.1587 / 1M tokens
Output
$0.6348 / 1M tokens

Command R (08-2024) Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Intelligence
5.3
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026

Command R (08-2024) vs other models

ModelInputOutputContextBest for
$0.1587 / 1M tokens
$0.6348 / 1M tokens
128K tokens
Reasoning + agents
$5 / 1M tokens
$30 / 1M tokens
1M tokens
Reasoning + agents
$2 / 1M tokens
$10 / 1M tokens
1M tokens
Balanced coding + agents
$3 / 1M tokens
$15 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows
$1.5 / 1M tokens
$9 / 1M tokens
1M tokens
Reasoning + agents

Frequently asked questions

Command R (08-2024) has a 128,000 tokens context window and can return up to 4,000 tokens.

Command R (08-2024) takes image, text as input and returns text.

Use cohere/command-r-08-2024 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

Command R (08-2024) is priced at input $0.20631 / 1M tokens, output $0.82524 / 1M tokens.

Yes, Command R (08-2024) can stream responses as they are generated.

Yes, Command R (08-2024) accepts image input alongside text.

Command R (08-2024) was built by Cohere.

Yes, it supports function calling, including parallel tool calls and structured outputs.

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