Command R+
- Provider
- Cohere
- Context window
- 128K ctx
- Max output
- -
- Input price
- $2.50 / 1M tokens
- Output price
- $10 / 1M tokens
- License
- Proprietary
- Open weights
- No
Command R+ represents Cohere’s bid for the enterprise LLM market, prioritizing two emerging needs: reliable retrieval-augmented generation and systematic tool use. With its 128k context window and RAG-specific optimizations, it outperforms generic models in scenarios requiring grounded knowledge work, though at a premium price point for output tokens. The model sits between general-purpose frontier models like GPT-4 and specialized retrieval systems, making it particularly valuable for businesses building AI agents that interact with proprietary data. Organizations should evaluate it if they require certified responses with citations, complex tool chaining, or analysis of exceptionally long documents—but may prefer alternatives for simpler chat applications or cost-sensitive projects where its specialized capabilities aren’t required.
Modality
Use cases
Pros & cons
Pros
- Exceptionally large context window (128k tokens) for processing lengthy documents
- Specialized for RAG—one of few models with native retrieval optimization
- Transparent pricing structure with per-input/output token costs
- Enterprise-focused design with tool integration capabilities
Cons
- Proprietary model with no open-weight alternative
- Higher output token pricing than some competitors
- No specified maximum output length limits predictability
- Text-only modality lacks multi-modal capabilities
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Command R+