Analysis Summary
Cohere Command R is a text-only model designed for economical business automation, with a 128K context window, tool use, and function calling. Its listed input and output prices are low, giving it a strong cost profile for retrieval, structured extraction, and repeated API calls. The supplied record contains no benchmark data, so reasoning quality, coding performance, and editorial reliability cannot be established.
It is a practical candidate for knowledge assistants, document question answering, and workflows that rely on external tools rather than difficult open-ended reasoning. The long context supports substantial source material, but teams should validate truncation behavior, tool-call accuracy, and answer grounding on their own data. Design for Online would consider it for a controlled, budget-conscious pilot, with human review for published content. It is not yet a preferred general-purpose model on the available evidence.
Assessed August 9, 2026
Editorial notes
Command R pairs a 128K context window, tool use, and function calling with very low listed pricing, making it attractive for retrieval and automation, although no benchmark data is supplied for quality validation.
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DFO Verdict
Command R pairs a 128K context window, tool use, and function calling with very low listed pricing, making it attractive for retrieval and automation, although no benchmark data is supplied for quality validation.
How Cohere: Command R (08-2024) compares
Its 128K-token context window is larger than 37% of the models we list. At $0.15 per million input tokens it is cheaper than 61% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.60 | $0.000600 |
What would Cohere: Command R (08-2024) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 714 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Cohere: Command R (08-2024) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Cohere: Command R (08-2024)
command-r-08-2024 is an update of the Command R with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and..
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Frequently asked questions about Cohere: Command R (08-2024)
How much does Cohere: Command R (08-2024) cost?
Cohere: Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens.
What is the context window of Cohere: Command R (08-2024)?
Cohere: Command R (08-2024) has a context window of 128,000 tokens (128K).
What can Cohere: Command R (08-2024) do?
Cohere: Command R (08-2024) supports tool use and function calling.
Who created Cohere: Command R (08-2024)?
Cohere: Command R (08-2024) is developed by Cohere and was released on August 30, 2024.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 22, 2026 8:38 pm