Command A Plus

by CohereChat

Cohere's stronger command model for multilingual agents and enterprise workflows

Context
128K tokens
Max output
64,000 tokens
Released
2026-05-20
Weights
Open

cohere/command-a-plus-05-2026

Specifications

Full facts as recorded, incl. what is unknown.

Released
2026-05-20
Weights
Open
Input
Text, Image
Output
Text
Context window
128,000 max across endpoints
Max output
64,000
Providers
2 + 1 gateway, not counted as providers
Epoch Capabilities Index
not evaluated
Direct price range
$2.50 in · $10 out per 1M tokens · 1 of 2 providers have a comparable price
More details
Last updated
2026-06-09
Knowledge cutoff
2025-04-01

Capabilities

Across all endpoints: supported if any endpoint supports it.

  • Tool calling
  • Parallel toolsunknown
  • Structured output
  • Reasoning
  • Image input
  • PDF input
  • Audio input
  • Audio outputunknown
  • Video input
  • Prompt cachingunknown
  • Web searchunknown
  • Computer useunknown
  • System messagesunknown
  • Assistant prefillunknown
  • Temperature
  • Streamingunknown
  • Attachments

Endpoints

One row per provider and variant; gateways are listed separately.

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Price history

No change since 19 Oct 2026. The cheapest direct price has been $2.50 in / $10 out per 1M tokens at Cohere on every data refresh since then.

Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON

Cost calculator

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Similarly priced models

Blended rate per 1M tokens, each at its own cheapest provider (10M input : 2M output mix).

ModelBlended/1MIn/1MOut/1MContextvs Command A Plus
Command ACohere$3.75$2.50$10256K+0%
Command A ReasoningCohere$3.75$2.50$10256K+0%
Command R+Cohere$3.75$2.50$10128K+0%
GPT-4oOpenAI$3.75$2.50$10128K+0%
GPT AudioOpenAI$3.75$2.50$10128K+0%
Palmyra X4Writer$3.75$2.50$10128K+0%
GPT-5.2 ChatOpenAI$3.79$1.75$14128K+1%
GPT-5.2 CodexOpenAI$3.79$1.75$14400K+1%

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Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model