Command R7B 12 2024
Neural Network
Command R7B 12-2024 is a compact and fast model from Cohere for RAG, tool use, and agentic tasks.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Command R7B 12 2024?
Command R7B (12-2024) is a compact update to Cohere's Command R+ line, released in December 2024. The model is lightweight and fast, yet handles complex reasoning tasks confidently: its strengths are Retrieval-Augmented Generation (RAG), tool use, and agentic workflows. Compared to the larger Command R+, it features a smaller size and faster response times, which is noticeable in high-volume scenarios. In BotHub, the model is accessible without a VPN or foreign card: you pay with a local card in rubles, only for the tokens you use, which do not expire. With over 250 neural networks available in one window, you can compare responses or switch models without rewriting your integration—a unified OpenAI-compatible API works, and chats are protected by AES-GCM encryption. Companies have access to contracts, invoices, electronic document management, and an admin panel with limits. In practice, Command R7B is used to build corporate knowledge base search, create agents with function calling and external services, extract structured data from documents, or offload support for routine inquiries.Frequently asked questions about Command R7B 12 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 with a 128,000 token context window. It accepts text, documents, and images as input, making it suitable for working with long materials: analyzing reports and contracts, answering questions based on uploaded files, summarizing, rewriting and structuring text, and assisting with code and drafts.
The model generates up to 4,000 tokens per response. This is enough for a detailed article, instruction, description, or code block. If you need longer content, simply break the work into parts and continue the conversation: the 128,000 token context preserves the entire discussion.
A dedicated reasoning mode is not noted in our data, so you shouldn't rely on explicit chains of thought. However, you can always ask the model in the prompt to break down the task step-by-step and show its logic—in practice, this significantly improves response quality.
Such features are not marked in our data, so we cannot guarantee support. It's easy to check: describe the required format directly in the prompt and see the result. If the task requires strict function calling, you can switch to another model in BotHub via the unified API without rewriting your integration.
Images and documents—yes, this is confirmed by our data: the model reads files and images and answers based on their content in text. Audio and video inputs are not supported. The model also cannot generate images, sound, or video—the output is always text.
The Command family from Cohere was originally created as multilingual, and Russian is included in the set of languages declared by the manufacturer. It is easiest to evaluate the quality on your own tasks: in BotHub, you pay for tokens as you go, without a subscription, and you can compare the output with other models in one window.