command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint the same.…
Model details →Cohere: Command R+ (08-2024) vs Mistral Large
Mistral Large wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news…
Model details →Side-by-side comparison
| Capability | Cohere: Command R+ (08-2024) | Mistral Large | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 128K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.50 | $2.00 | 🏆 Mistral Large |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | $6.00 | 🏆 Mistral Large |
| 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 Mistral Large?
Mistral Large wins on 2 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 Mistral Large?
Input: $2.50 vs $2.00 per 1M tokens. Output: $10.00 vs $6.00 per 1M tokens.
What context windows do Cohere: Command R+ (08-2024) and Mistral Large support?
Cohere: Command R+ (08-2024) supports up to 128K tokens. Mistral Large supports up to 128K tokens.
Do both Cohere: Command R+ (08-2024) and Mistral Large support tool calling?
Cohere: Command R+ (08-2024): yes. Mistral Large: yes.