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 is competit…
Model details →Cohere: Command R (08-2024) vs Qwen: Qwen-Turbo
Qwen: Qwen-Turbo wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen-Turbo, based on Qwen2.5, is a 1M context model that provides fast speed and low cost, suitable for simple tasks.
Model details →Side-by-side comparison
| Capability | Cohere: Command R (08-2024) | Qwen: Qwen-Turbo | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 131K | 🏆 Qwen: Qwen-Turbo |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.15 | $0.03 | 🏆 Qwen: Qwen-Turbo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.60 | $0.13 | 🏆 Qwen: Qwen-Turbo |
| 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 Qwen: Qwen-Turbo?
Qwen: Qwen-Turbo 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 Qwen: Qwen-Turbo?
Input: $0.15 vs $0.03 per 1M tokens. Output: $0.60 vs $0.13 per 1M tokens.
What context windows do Cohere: Command R (08-2024) and Qwen: Qwen-Turbo support?
Cohere: Command R (08-2024) supports up to 128K tokens. Qwen: Qwen-Turbo supports up to 131K tokens.
Do both Cohere: Command R (08-2024) and Qwen: Qwen-Turbo support tool calling?
Cohere: Command R (08-2024): yes. Qwen: Qwen-Turbo: yes.