command-r-08-2024 is an update of the [Command R](/models/cohere/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...
Model details →Cohere: Command R (08-2024) vs IBM: Granite 4.1 8B
IBM: Granite 4.1 8B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...
Model details →Side-by-side comparison
| Capability | Cohere: Command R (08-2024) | IBM: Granite 4.1 8B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 131K | 🏆 IBM: Granite 4.1 8B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.15 | $0.05 | 🏆 IBM: Granite 4.1 8B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.60 | $0.10 | 🏆 IBM: Granite 4.1 8B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | 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 R (08-2024) better than IBM: Granite 4.1 8B?
IBM: Granite 4.1 8B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Cohere: Command R (08-2024) and IBM: Granite 4.1 8B?
Input: $0.15 vs $0.05 per 1M tokens. Output: $0.60 vs $0.10 per 1M tokens.
What context windows do Cohere: Command R (08-2024) and IBM: Granite 4.1 8B support?
Cohere: Command R (08-2024) supports up to 128K tokens. IBM: Granite 4.1 8B supports up to 131K tokens.
Do both Cohere: Command R (08-2024) and IBM: Granite 4.1 8B support tool calling?
Cohere: Command R (08-2024): yes. IBM: Granite 4.1 8B: yes.
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