Command R
Command R is a text generation model from Cohere with a 128,000-token context window and multilingual support.
Cohere
Amazon BedrockMultilingual text generation with long context
Command R is a large language model developed by Cohere, released in August 2024 and made available through Amazon Bedrock. It is designed for text generation tasks and supports a context window of 128,000 tokens, allowing it to process and reason over long documents in a single pass. The model carries tags indicating it is positioned as a flagship offering within Cohere's lineup, with an emphasis on low latency and multilingual capability.
Command R is suited for enterprise use cases that require handling multiple languages, long-form content, and conversational interactions at scale. Its maximum response size is 4,000 tokens per generation. The model is accessed via Amazon Bedrock under the identifier cohere.command-r-v1:0, and its status is currently marked as deprecated, meaning users should check for successor versions when planning new integrations.
What Command R supports
Long Context Window
Processes up to 128,000 tokens in a single request, enabling analysis of lengthy documents, transcripts, or codebases without chunking.
Low Latency Responses
Optimized for faster response times, making it suitable for interactive applications and real-time workflows.
Multilingual Text Generation
Supports text generation across multiple languages, enabling deployment in international or multilingual product contexts.
Conversational Chat
Built on a chat-oriented architecture (llm_chat), supporting multi-turn dialogue and instruction-following interactions.
Retrieval-Augmented Generation
Command R is designed to work with RAG pipelines, accepting grounding documents and generating responses that cite provided sources.
Ready to build with Command R?
Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 33.8% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 28.4% |
| MATH-500 | Undergraduate and competition-level math problems | 16.4% |
| AIME 2024 | American math olympiad problems | 0.7% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 4.8% |
| HLE | Questions that challenge frontier models across many domains | 4.8% |
| SciCode | Scientific research coding and numerical methods | 6.2% |
Common questions about Command R
What is the context window size for Command R?
Command R supports a context window of 128,000 tokens, allowing large volumes of text to be processed in a single request.
What is the maximum response length Command R can generate?
The model has a maximum response size of 4,000 tokens per generation.
Is Command R still actively supported?
Command R (cohere.command-r-v1:0) is currently marked as deprecated. Developers starting new projects should check whether a newer version is available.
How is Command R accessed on MindStudio?
Command R is available through the Amazon Bedrock provider on MindStudio, using the model identifier cohere.command-r-v1:0.
What languages does Command R support?
Command R is tagged as multilingual, meaning it is designed to handle text generation tasks across multiple languages, though the specific list of supported languages is documented by Cohere.
What is the pricing for Command R on MindStudio?
Pricing information is not published in the available metadata. Costs are determined by Amazon Bedrock's pricing for the Cohere Command R model, which can be found on the AWS pricing page.
What people think about Command R
Community discussions reflect that Command R was widely used as a daily driver model among developers, particularly for its RAG capabilities and enterprise focus. Users in the LocalLLaMA subreddit noted it had a strong following roughly two years ago before newer models shifted attention.
More recent threads focus less on Command R specifically and more on the broader Cohere ecosystem, including the company's $6.8 billion valuation and ongoing enterprise positioning. Some community members have raised questions about where Command R fits as Cohere's model lineup has evolved.
What ever happened to Cohere’s Command-R and Command-A series of models? R was a lot of folks’ daily driver model like 2 years ago.
GPT -OSS is heavily trained on benchmark. scored rank 34 on simplebench worse than grok 2
AI startup Cohere valued at $6.8 billion in latest fundraising, hires Meta exec
Parameters & options
Explore similar models
CohereCohere Rerank 4 Fast
Cohere Rerank 4 Fast is a reranking model from Cohere designed to score and reorder search results with a 4096 token context window.
CohereCohere Rerank 4 Pro
Cohere Rerank 4 Pro is a reranking model from Cohere designed to improve search result relevance with a 4096-token context window.
CohereCohere Embed 4
Cohere Embed 4 is an embedding model from Cohere with a 128,000-token context window, released in April 2025.
OpenAIGPT-6 Astra
DeepSeekDeepSeek V4.1 Flash
Z.aiGLM-5.3
Start building with Command R
No API keys required. Create AI-powered workflows with Command R in minutes — free.