ModelRefs / Command R by Cohere — Benchmarks, Pricing & Review (2026)

Command R by Cohere — Benchmarks, Pricing & Review (2026)

Command R (Cohere): Command R by Cohere.. 128K context. Pricing: from $0.00015/1K in. Specs, benchmarks and code examples.

What this reference supports

Command R is a Cohere language model generation focused on retrieval-augmented generation, citations, tool use, multilingual interaction, and scalable enterprise workloads. Its dated variants and deprecation notices must be handled explicitly rather than using the family name as a stable API identifier.

Command R is attributed to Cohere in ModelRefs' canonical registry. Tracked modalities: Text. Primary use cases considered on ModelRefs: Grounded question answering and enterprise retrieval; Tool-enabled and multilingual conversational applications.

This ModelRefs profile is Provisional and pending review — decision-support material, not a final or universal ranking. Confirm current behavior, access, pricing, limits, licensing, and lifecycle in Cohere's own documentation, and evaluate Command R on representative workloads before implementation.

Benchmark & Evaluation

ModelRefs currently has partial, narrow benchmark coverage for Command R. Treat the available benchmark evidence as one input to the decision, not a guarantee that Command R is the strongest option for your workload, and evaluate it on representative workloads before selecting it.

  • Provider-reported benchmark results should be interpreted with methodology, dataset, prompting, tool, sampling, and recency limitations in mind.
  • G.8 reviewed Cohere's Command R model card for intended use, language coverage, safety, bias, sampling, and known limitations. It does not supply independently reproducible task scores for canonical admission.
  • Central benchmark eligibility remains withheld because no sourced canonical score record is registered.

Implementation considerations

  • Use the documented versioned identifier and test citations, grounding, tools, and safety modes.
  • Evaluate retrieval, reranking, and generation as separate pipeline components.
  • Cohere documents first-party and supported cloud channels.
  • Confirm current status, regional availability, and feature parity for the chosen channel.

Risks and limitations

  • Outputs can be incorrect or unsuitable for the intended task; use task-specific evaluation, grounding, and human review where consequences are material.
  • API availability, model aliases, rate limits, data controls, regions, and prices are mutable and differ by product channel.

Source coverage

This reference is Provisional. Model behavior, access, pricing, limits, and lifecycle can change; verify the linked provider documentation and run task-specific evaluations before implementation.

Known coverage gaps:

  • Current version-to-channel mapping needs periodic review.
  • Independent grounded-generation evaluations and canonical benchmark run metadata are incomplete.

Sources

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Command R by Cohere — Benchmarks, Pricing & Review (2026).