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Model details
Command R+
Cohere's Command R+ sits within the Command family of generative models that the company positions for enterprise workloads such as retrieval-augmented generation, grounded question answering, and agent-style tool use. Cohere distributes its Command family across a broad partner footprint, with documented platform availability that includes its own dashboard, Amazon SageMaker, Amazon Bedrock, Microsoft Azure, and Oracle GenAI Service, which makes the model straightforward to drop into existing cloud stacks rather than locking teams into a single vendor. The August 2024 snapshot shown here is part of Cohere's iterative refresh of the Command R+ line, building on the original release that was first surfaced through AWS's SageMaker JumpStart announcement earlier in 2024. Cohere also exposes an AI-agent-oriented documentation index (via the /llms.txt convention) alongside its model pages, which signals that the model is intended to be wired into agentic pipelines as well as conventional chat interfaces.
In practical terms, Command R+ is aimed at production teams that need a balance of reasoning quality and deployment flexibility: Cohere markets the family for grounded, tool-calling workflows where the model must cite sources, call external APIs, or chain through multi-step tasks without losing context. Because the weights are released openly, organizations can self-host the model for data-residency or cost-control reasons, or alternatively consume it through hosted Cohere endpoints or one of the partner clouds listed on the Cohere models page, picking the route that best matches their infrastructure. The August 2024 refresh is positioned as a maintenance and quality update over the earlier Command R+ rather than a wholesale architectural change, so existing prompts, fine-tunes, and integration code from the original release generally continue to apply while benefiting from improved answer quality and reduced hallucination in grounded tasks.
Quick Info
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- Cohere
- Model key
- command-r-plus-08-2024
- Release date
- Aug 30, 2024
- Last updated
- Aug 30, 2024
- Knowledge cutoff
- 2024-06-01
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $2.50
- Output token cost
- $10.00
Limits
- Output tokens
- 4,000 tokens
- Context window
- 128,000 tokens
Transparent token rates
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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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