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 and multiple steps. Use of this model is subject to Cohere…
Model details →Cohere: Command R7B (12-2024) vs ReMM SLERP 13B
Cohere: Command R7B (12-2024) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
Model details →Side-by-side comparison
| Capability | Cohere: Command R7B (12-2024) | ReMM SLERP 13B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 6K | 🏆 Cohere: Command R7B (12-2024) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.04 | $0.45 | 🏆 Cohere: Command R7B (12-2024) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.15 | $0.65 | 🏆 Cohere: Command R7B (12-2024) |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Cohere: Command R7B (12-2024) better than ReMM SLERP 13B?
Cohere: Command R7B (12-2024) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Cohere: Command R7B (12-2024) and ReMM SLERP 13B?
Input: $0.04 vs $0.45 per 1M tokens. Output: $0.15 vs $0.65 per 1M tokens.
What context windows do Cohere: Command R7B (12-2024) and ReMM SLERP 13B support?
Cohere: Command R7B (12-2024) supports up to 128K tokens. ReMM SLERP 13B supports up to 6K tokens.
Do both Cohere: Command R7B (12-2024) and ReMM SLERP 13B support tool calling?
Cohere: Command R7B (12-2024): not advertised. ReMM SLERP 13B: not advertised.