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Command R+ (08-2024)

Verified

Cohere's Command R+ excels at RAG, tool use, and long-context reasoning.

CohereLanguage ModelsOpenII 7.4
Model page
Updated 2026-06-15

About Command R+ (08-2024)

Command R+ employs a transformer-based architecture optimized for retrieval-augmented generation and function calling. Its 128k context window allows it to ingest and reason over lengthy documents without truncation. The August 2024 release includes refinements to multilingual performance and citation accuracy.

Strengths include precise tool orchestration and reduced hallucination when grounded in retrieved sources. As an open-weight model it can be fine-tuned or deployed on private infrastructure. Typical usage covers customer support agents, research assistants, and internal knowledge-base interfaces.

Capabilities

Long-context reasoning
Tool use and function calling
Multilingual text generation
RAG and document summarization
Code generation
Instruction following

Benchmarks & performance

Independent evaluation scores and measured speed.

7.4
Intelligence Index

Source: Artificial Analysis

How Command R+ (08-2024) compares

Command R+ (08-2024) (striped bar) vs other language models on intelligence, speed and price.

Intelligence

Artificial Analysis Intelligence Index · Higher is better · Command R+ (08-2024) ranks #67 of 67

13
Qwen3 14B
13
Mistral Small 3
13
Qwen3 30B A3B
12
Granite 4.1 8B
11
Qwen3 8B
11
LFM2-24B-A2B
10
Phi 4
10
Mistral Large
10
Mixtral 8x22B Instruct
10
Reka Flash 3
8
Phi 4 Mini Instruct
8
Granite 4.0 Micro
7
Command R+

Price

USD per 1M output tokens · Lower is better · Command R+ (08-2024) ranks #55 of 141

$0.50
Cydonia 24B V4.1
$0.50
Qwen3 30B A3B
$0.50
Olmo 3 32B Think
$0.57
Hunyuan A13B Instruct
$0.60
GPT-4o-mini Search Preview
$0.60
Solar Pro 3
$0.60
Command R+
$0.62
WizardLM-2 8x22B
$0.63
Ring-2.6-1T
$0.63
Ling-2.6-1T
$0.65
Gemma 2 27B
$0.65
ReMM SLERP 13B
$0.70
Hermes 3 70B Instruct

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

Best for

Long Document Summarization

The 128k token context enables effective RAG and summarization over extensive reports or research papers while maintaining coherence across sections.

Agentic Tool Integration

Tool use and function calling allow reliable multi-step workflows where the model invokes external APIs or databases based on user instructions.

Multilingual Code Assistance

Strong instruction following combined with code generation supports writing and explaining code in several languages for international development teams.

Strengths & limitations

Strengths

  • +Strong enterprise RAG and tool integration
  • +Robust multilingual performance
  • +Effective long-document handling

Limitations

  • Text-only modality
  • Less emphasis on creative writing
  • Context window capped at 128k tokens

Cost calculator

Estimate what Command R+ (08-2024) would cost for your usage.

$0.00045
per request
$4.5
estimated / month

Based on Command R+ (08-2024)'s $0.15/1M input · $0.60/1M 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-r-plus-08-2024",
  messages: [{ role: "user", content: "Hello!" }],
});

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

Model slug: cohere/command-r-plus-08-2024

Editor's verdict

Our take on Command R+ (08-2024)

Command R+ (08-2024) is Cohere's open-weight language models with a 128K-token context window.

On independent testing it scores 7.4 on the Artificial Analysis Intelligence Index.

At $0.60 per 1M output tokens, it is very cost-efficient for its class.

As an open-weight model you can self-host it or call it through a hosted API.

Best suited to strong enterprise rag and tool integration and robust multilingual performance.

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Frequently asked questions

The model provides a context window of 128000 tokens.

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Other Command models

Sibling versions in the Command family from Cohere.

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