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AI Model Atlas / Cohere

Command A

One million input tokens cost $2.50 and one million output tokens $10.00. Context window: 256k tokens, about 427 A4 pages.

Data from 11 November 2026 API identifier: cohere/command-a

What it costs in practice

Pricing per million tokens doesn't mean anything to anyone, so I convert it to three tasks that people actually give to models. The usage assumptions are listed for each row so you can verify them.

TaskInputOutputCost
1500-word articlebrief plus finished text in English 1,500 tokens 2,200 tokens $0.03
100 chat queries700 tokens per question and 400 per answer 70,000 tokens 40,000 tokens $0.58
Hour of work with an agentagent reads repository and writes fixes 250,000 tokens 30,000 tokens $0.93
The calculation does not include tax, intermediary markup, or context caching, which with repeated prompts can cut input costs by several dozen percent.

Technical details

ProviderCohere
Modalitiestext → text
Context window256k tokens (~427 A4 pages)
Maximum response8k tokens
Step-by-step reasoningno
Tool callingyes
Forced JSON formatyes
Knowledge cutoff2024-08-31
Cache readno data
Content moderationyes, provider filters

How it compares to the rest

The database contains 469 models. In terms of input pricing Command A is more expensive than 84 percent of paid models. A longer context window is available in 323 models.

Input price history

2026-09-08 · $2.502026-11-11 · $2.50

The chart shows the price of a million input tokens on consecutive measurement days. History starts on the day I launched the atlas and grows with each day. I don't backfill data.

Alternatives at a similar price

Models from other providers whose cost for the same article comes out closest.

ModelInput / MOutput / M1500-word articleContext
GPT AudioOpenAI $2.50 $10.00 $0.03 128k
GPT-4o (2024-11-20)OpenAI $2.50 $10.00 $0.03 128k
GPT-4o (2024-08-06)OpenAI $2.50 $10.00 $0.03 128k
GPT-4oOpenAI $2.50 $10.00 $0.03 128k

Compare Command A with another model or go back to the full database 469 models.

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