Command R 08 2024
Neural Network
Command R 08 2024 is a Cohere language model for RAG, tool use, and code, available via Command R API in BotHub.
Max answer length
(in tokens)
Context size
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Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Command R 08 2024?
Command R 08 2024 is an update to Cohere's Command R model: developers have improved multilingual RAG and tool use, as well as enhanced math, code, and reasoning capabilities. It is a workhorse for scenarios where the model needs to rely on your documents and call external functions, rather than just maintaining a dialogue. In BotHub, it is available without a VPN or foreign card, with pay-as-you-go billing using Russian cards for tokens that do not expire. A unified OpenAI-compatible API allows you to connect Command R 08 2024 to your service and switch to another of the 250+ models if needed without rewriting the integration; chats are encrypted with AES-GCM. For companies, we offer contracts, invoices, electronic document management (EDO), an admin panel, and employee limits. It is useful when you need to build a knowledge base search based on sources, connect the model to a CRM or internal APIs via function calling, analyze and refactor code, check solutions to math or engineering problems, and prepare support responses based on documentation.Frequently asked questions about Command R 08 2024
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is a Cohere text model: it answers questions, writes and edits materials, summarizes and analyzes documents, and helps with code. It accepts text, documents, and images as input, and calls functions. The 128,000-token context allows you to upload a large file or long conversation and work with them in their entirety.
In a single response, the model generates up to 4,000 tokens — that's several pages of text: an article or a detailed instruction. If you need more, break the task into parts and ask it to continue: the 128,000-token context is enough for the model to remember everything written previously.
In our data, a separate reasoning mode for this model is not noted, so do not expect hidden chains of thought. However, you can ask it to break down a task step-by-step directly in the prompt — the model will write out the logic in its response. For complex calculations, there are separate reasoning models in the BotHub catalog.
Yes, function calling and structured JSON output are supported. The model decides which tool to call and returns arguments in the specified schema. This is convenient for agents, knowledge base search, and integrations: in BotHub, everything works via a unified OpenAI-compatible API, so the model can be replaced without rewriting code.
Images and documents — yes, they can be sent in the prompt: the model will read the file or analyze what is in the image and respond with text. Audio and video input are not noted in our data. Image, audio, or video generation is also not noted for this model — there are separate models in BotHub for such tasks.
Language characteristics are not specified in our data, so we cannot promise specific quality for Russian — please test it with your task. It's fast: in BotHub, payment is pay-as-you-go for tokens, without a subscription, and you can compare the response with another model in the same window.