Command A Reasoning: context, capabilities and where to run it
Prices from official vendor price lists · October 2026
Cohere bills the Command A family per instance-hour, not per token, so a price per million tokens does not exist for this model. Recorded for reasoning.
Capabilities
Price / mo
API only
Command A Reasoning is an AI model from Cohere. The vendor does not publish a public per-token price, so the cost cells are left empty rather than guessed.
Capabilities recorded in this rating: text & chat, reasoning, tool calling, multilingual, proprietary API. Access is through the API rather than a consumer subscription.
API priceNot publishedper 1M tokens, in / out
ContextNot publishedtokens per conversation
VendorCohereall models from this vendor
TierUnpricedno public rate card
Compared with alternatives
How Command A Reasoning sits against its neighbours in this rating. Tap a card to open that model.
Good and poor fit
Good fit
- Multi-step analysis, planning and code review, where the first plausible answer is often wrong.
- General text generation and conversation across languages.
Poor fit
- Anything requiring image input — this model does not accept it.
- Work where the vendor does not publish a rate you can budget against.
Related filters
Text & chat234 models for text generation and chat
Reasoning175 models that think before answering
Tool calling172 models that call your functions
MultilingualAll 245 models work beyond English
Proprietary API151 closed-weight, API-only models
Cohere8 models from this vendor
All 245 modelsThe full rating with filters and prices
Frequently asked questions
How much does Command A Reasoning cost?
Cohere does not publish a public per-token rate for this model, so the price cells here are empty rather than estimated.
What is the context window of Command A Reasoning?
Not published by the vendor.
What can Command A Reasoning do?
In this rating it is recorded with: text & chat, reasoning, tool calling, multilingual, proprietary API.
Is Command A Reasoning a good choice?
It depends on the job. See the good-fit and poor-fit lists above, and compare against the neighbouring models before committing.
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