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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: cohere_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
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...
command-a is a Multimodal model from Cohere (US). HotON.ai tracks it at $2.50 per 1M input tokens and $10.00 per 1M output tokens, with a 256K-token context window. Its composite efficiency score is 86/100 at an estimated $0.010 per successful task.
command-a is tracked at $2.50 per 1M input tokens and $10.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $8.13 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
command-a supports up to a 256K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, command-a is cheaper than 12% of models on input price and ranks #447 of 535 by overall efficiency.
Yes — gemini-3.1-flash-lite-preview is a lower-cost option at $1.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — command-a (Cohere): $2.50/1M input, $10.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/cohere-command-aPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.