Auto-generated comparison

Cohere: Command R7B (12-2024) vs DeepSeek: DeepSeek V3.1

DeepSeek: DeepSeek V3.1 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityCohere: Command R7B (12-2024)DeepSeek: DeepSeek V3.1Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K164K🏆 DeepSeek: DeepSeek V3.1
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.04$0.25🏆 Cohere: Command R7B (12-2024)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.15$0.95🏆 Cohere: Command R7B (12-2024)
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 DeepSeek: DeepSeek V3.1
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 DeepSeek: DeepSeek V3.1

Frequently asked questions

Is Cohere: Command R7B (12-2024) better than DeepSeek: DeepSeek V3.1?

DeepSeek: DeepSeek V3.1 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 DeepSeek: DeepSeek V3.1?

Input: $0.04 vs $0.25 per 1M tokens. Output: $0.15 vs $0.95 per 1M tokens.

What context windows do Cohere: Command R7B (12-2024) and DeepSeek: DeepSeek V3.1 support?

Cohere: Command R7B (12-2024) supports up to 128K tokens. DeepSeek: DeepSeek V3.1 supports up to 164K tokens.

Do both Cohere: Command R7B (12-2024) and DeepSeek: DeepSeek V3.1 support tool calling?

Cohere: Command R7B (12-2024): not advertised. DeepSeek: DeepSeek V3.1: yes.

Compare Cohere: Command R7B (12-2024) with other models

Compare DeepSeek: DeepSeek V3.1 with other models