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Cohere
Command A
Cohere’s performant enterprise model for tool use, RAG, agents, and multilingual workflows.
Overall score
88
enterpriseragmultilingual
Context window
256K tokens
Speed
Balanced
Input pricing
$2.50 / 1M input tokens
Output pricing
$10 / 1M output tokens
Score breakdown
Capability89
Use-case fit90
Cost efficiency84
Speed84
Reliability88
Agent readiness90
Ecosystem85
Scores combine benchmark signals, product experience, and editorial weighting. Use them as a practical guide, not an absolute truth claim.
Best for
Agent automationResearch
Works with
Cohere APIRAG pipelinesenterprise search
Modalities
text
Sources & trust
Officially verified core fields
Official linkSummaryDescriptionContext windowTool supportPricingPricing page
Editorial fields such as shortlist guidance, strengths, caveats, and scoring remain clearly separated from official provider data.
Cohere official
Official site · Tier 5 · Apr 9, 2026
Official link
Command A docs
Official docs · Tier 5 · Apr 9, 2026
SummaryDescriptionContext windowTool supportPricingPricing page
Command A VerdictLens review
Manual review · Tier 3 · Apr 9, 2026
Best-fit guidanceWorks-with guidanceStrengthsCaveatsOverall scoreScore breakdown
Last verified: Apr 9, 2026
Strengths
- Strong enterprise-facing positioning around RAG and tool use.
- Long context helps with knowledge-heavy workflows.
Things to watch
- Ecosystem mindshare is smaller than OpenAI or Anthropic.
- Some teams may prefer more standardized agent examples elsewhere.
Best for
Research synthesis & analyst workflows
Prioritize source grounding, multilingual reading, long-context reasoning, and a retrieval stack that stays inspectable.
Agent automation & operations
Prioritize tool reliability, composability, secret handling, and robust state management across long-running flows.