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Vikshy Models · Cohere

Cohere models: pricing, context & what each is for

Cohere has 9 models in the Vikshy catalogue, spanning Command, Command R, Rerank, Embed, compared side by side on context window, API pricing, modality, and what each is best for, every model linked to Cohere's official docs and pricing. Prices are per million tokens and can change, so the linked pricing page is the source of truth. For how Cohere ranks against other labs, see its Vikshy Score. Updated 2026-07-21.

ModelContextInput /MOutput /MModalityAccess
Command A+Frontier
Enterprises that need top quality with self hosting options.
128K
Text
API + open weights
Command AFlagship
Enterprise RAG, agents and general chat.
256K
$2.50
$10.00
Text
API + open weights
Command A ReasoningReasoning
Agentic workflows that need deliberate reasoning.
256K
Text
API
Command R7BEfficient
High volume lightweight generation.
128K
$0.0375
$0.15
Text
API + open weights
Command A VisionEnterprise
Enterprise multimodal document analysis.
128K
Vision
API
Rerank 3.5Enterprise
Reranking retrieval results in search pipelines.
N/A
$2.00 per 1K searches
N/A
Text
API
Embed 4Enterprise
Enterprise semantic search and multimodal retrieval.
128K
$0.12
N/A
Multimodal
API
Command R+Legacy
Existing RAG stacks built on the R+ line.
128K
$2.50
$10.00
Text
API + open weights
Command RLegacy
Cost sensitive RAG and chat.
128K
$0.15
$0.60
Text
API + open weights

Cohere models, common questions

What is Cohere's most capable model?

Its highest-tier model in the catalogue is Command A+ (Frontier tier), built for enterprises that need top quality with self hosting options.

Which Cohere model is cheapest?

By API input price, Command R7B is the lowest at $0.0375 per million input tokens ($0.15 output).

What is the largest context window Cohere offers?

Command A has the largest listed context window, up to 256K tokens.

Does Cohere offer open-weight models?

Yes. 5 of Cohere's catalogued models are available as open weights.