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Cohere: Command A API Pricing

Cohere: Command A costs $2.50 per 1M input tokens and $10.00 per 1M output tokens. Context window: 256K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
2K
HF downloads
398
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Intelligence & capability
via Artificial Analysis
13.1
Intelligence index · top 65% of 288 scored
27.8
Coding index
1
Agentic index
$4.375
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$2.50
Output / 1M tokens
$10.00
Context window
256K
Max output
8K
Knowledge cutoff
2024-08-31

Training data ends here — newer events require retrieval or web search.

What would Cohere: Command A cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$60.00
Coding agent5,0008,000 / 2,000$200.00
RAG pipeline30,0004,000 / 500$450.00
Doc summarizer2,00020,000 / 1,000$120.00

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Cohere: Command A

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...

Compare Cohere: Command A with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Cohere: Command A cost?

Cohere: Command A costs $2.50 per 1M input tokens and $10.00 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

256K tokens, with up to 8K output tokens per response. That's roughly 320 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.

Official resources