C

Command R+

Model spec
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

Text

Use cases

Enterprise knowledge base Q&A with cited sourcesMulti-step data aggregation from APIs/databasesLong-document synthesis and summarizationComplex workflow automation with tool orchestrationLegal/technical document analysis with evidence retrieval

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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Read the official docs

Command R+

View documentation