Auto-generated comparison

Cohere: Command R (08-2024) vs DeepSeek Chat (legacy id)

Cohere: Command R (08-2024) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityCohere: Command R (08-2024)DeepSeek Chat (legacy id)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K164K🏆 DeepSeek Chat (legacy id)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.15$0.32🏆 Cohere: Command R (08-2024)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.60$0.89🏆 Cohere: Command R (08-2024)
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
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 DeepSeek Chat (legacy id)?

Cohere: Command R (08-2024) 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 DeepSeek Chat (legacy id)?

Input: $0.15 vs $0.32 per 1M tokens. Output: $0.60 vs $0.89 per 1M tokens.

What context windows do Cohere: Command R (08-2024) and DeepSeek Chat (legacy id) support?

Cohere: Command R (08-2024) supports up to 128K tokens. DeepSeek Chat (legacy id) supports up to 164K tokens.

Do both Cohere: Command R (08-2024) and DeepSeek Chat (legacy id) support tool calling?

Cohere: Command R (08-2024): yes. DeepSeek Chat (legacy id): yes.

Compare Cohere: Command R (08-2024) with other models

Compare DeepSeek Chat (legacy id) with other models