Command R+ overview
Command R+ by Cohere
Explore Cohere's Command R+ API, a high-performance LLM designed for enterprise use with advanced features like multilingual support and tool integration.
Command R+ specs
- Developer
- Cohere
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
Basic Information
- Model Type: Large Language Model (LLM)
Overview
Command R+ is a cutting-edge large language model designed for enterprise applications, focusing on advanced capabilities such as Retrieval-Augmented Generation (RAG) and multi-step tool use. It is built to enhance efficiency and accuracy in real-world business scenarios.
Key Features
- Parameter Count: 104 billion parameters for high performance.
- Context Length: Supports an impressive context length of 128,000 tokens.
- Multilingual Support: Optimized for performance in ten languages: English, French, Spanish, Italian, German, Brazilian Portuguese, Japanese, Korean, Arabic, and Simplified Chinese.
- Grounded Generation: Capable of generating responses based on external document snippets with citations.
- Tool Use Capabilities: Supports single-step tool use for interacting with external APIs and databases.
Intended Use
Command R+ is tailored for enterprise scenarios such as customer support, finance, human resources, and marketing. It is particularly effective in applications requiring complex reasoning and automation.
Language Support
The model supports multiple languages and has been evaluated in ten primary languages while also incorporating training data from thirteen additional languages.
Architecture
Command R+ utilizes an optimized transformer architecture that is auto-regressive. It employs a combination of supervised fine-tuning (SFT) and preference training to align its outputs with human preferences regarding helpfulness and safety.
Use cases
- Agentic RAG Pipelines: Grounded multi-step retrieval and action workflows
- Function-Calling Agents: Complex tool orchestration across steps
- Multilingual Assistance: Chat, translation, QA in 10+ languages
- Structured Data Parsing: Tables, JSON, and document data grounding
- Long-Form Dialogue: Sustained context over 128K tokens
Capabilities
- Function calling
- Streaming
- Structured outputs
Command R+ benchmarks by
Artificial Analysis
See how Command R+ scores on independent evaluations. Data retrieved Nov 3, 2026.
Benchmark results
Compare 9 models available on AI/ML API across 5 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
GPQA Diamond
Graduate-level science questions written to resist web search.
LiveCodeBench
Competitive programming problems published after training cutoffs.
MMLU-Pro
Multiple-choice knowledge and reasoning across 14 subjects.
MATH-500
Competition mathematics problems.
Command R+ API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $3.32 | 1M tokens |
| Output | $16.62 | 1M tokens |
Command R+ is unlisted on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Command R+ vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $3.32 | $16.62 | |
| $0.0397 | $0.1587 | |
| $0.1587 | $0.6348 | |
| $2.65 | $10.58 | |
| $2.65 | $10.58 |
Related articles
Command R+ FAQ
Does Command R+ support streaming?
Yes, Command R+ can stream responses as they are generated.
Does Command R+ support tool calling and structured outputs?
Yes, Command R+ supports both function calling and structured outputs.
Who created Command R+?
Command R+ was built by Cohere.
Can Command R+ process image or video inputs?
No. Its listed capabilities are function calling, streaming, and structured outputs, with no image or video input support mentioned.
Which API endpoint is used to access Command R+?
Command R+ is accessed via the v1/chat/completions endpoint.

