Cohere: Command R7B (12-2024)
Analysis Summary
Cohere Command R7B from December 2024 is a compact text model with a 128K context window and tool-use support. Its very low listed pricing makes it suitable for high-volume operations where requests are relatively constrained and the business needs economical processing. The large context window supports briefs, knowledge snippets, and document-based prompts.
Likely agency uses include classification, content restructuring, SEO metadata, and simple tool-connected workflows. However, no benchmark data is provided for this listing, so reasoning quality, coding strength, instruction-following precision, and reliability remain unverified. It should not be selected for autonomous agents or complex client analysis without task-specific testing. Consider it for routine volume traffic when cost is the primary requirement and outputs can be checked through rules, sampling, or a stronger review model.
Assessed August 9, 2026
Editorial notes
Command R7B is a low-cost text model with a 128K context window and tool-use support, making it appealing for routine automation, although this listing has no benchmark data for capability validation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Command R7B is a low-cost text model with a 128K context window and tool-use support, making it appealing for routine automation, although this listing has no benchmark data for capability validation.
How Cohere: Command R7B (12-2024) compares
Its 128K-token context window is larger than 38% of the models we list. At $0.04 per million input tokens it is cheaper than 77% 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 | $0.04 | $0.000038 |
| Output | $0.15 | $0.000150 |
What would Cohere: Command R7B (12-2024) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Cohere: Command R7B (12-2024) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Cohere: Command R7B (12-2024)
Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning..
Frequently asked questions about Cohere: Command R7B (12-2024)
How much does Cohere: Command R7B (12-2024) cost?
Cohere: Command R7B (12-2024) costs $0.04 per million input tokens and $0.15 per million output tokens.
What is the context window of Cohere: Command R7B (12-2024)?
Cohere: Command R7B (12-2024) has a context window of 128,000 tokens (128K).
What can Cohere: Command R7B (12-2024) do?
Cohere: Command R7B (12-2024) supports tool use.
Who created Cohere: Command R7B (12-2024)?
Cohere: Command R7B (12-2024) is developed by Cohere and was released on December 14, 2024.
