Command R+

Cohere chat Free

API ID: cohere/command-r-plus

Input Price
Free
/1M tokens
Output Price
Free
/1M tokens

About Command R+

Command R+ is Cohere's flagship model, optimized for enterprise retrieval-augmented generation (RAG) and tool use applications. With 104 billion parameters, it delivers exceptional performance on tasks combining information retrieval with language generation. Command R+ excels at grounded generation—producing responses that accurately cite and synthesize information from provided documents. The model features a 128K context window and supports Cohere's advanced RAG capabilities including multi-step reasoning over retrieved content. It demonstrates strong performance on enterprise use cases like customer support, research assistance, and knowledge management. Command R+ supports function calling and integrates seamlessly with Cohere's embedding and reranking models for complete RAG pipelines. For enterprises building AI systems that must accurately reference source materials and avoid hallucination, Command R+ offers specialized capability that general-purpose models can't match. It's particularly valuable for legal, financial, and healthcare applications where accuracy and citation are critical.

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Price Ranking
#1 lowest price among 950 Chat models — Top 20% cheapest!

Model Specifications

Context Length
128k
Max Output
Release Date
2024-04-04
Capabilities
chat
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
🎉

This model is completely free!

No token costs - use it without worrying about API bills.

Estimate Token Usage

Cohere Model Lineup

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🚀 Quick Start

Get started with Command R+ API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="cohere/command-r-plus",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)