Auto-generated comparison

Cohere: Command R (08-2024) vs DeepSeek: DeepSeek V3.1 Terminus

Cohere: Command R (08-2024) and DeepSeek: DeepSeek V3.1 Terminus are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityCohere: Command R (08-2024)DeepSeek: DeepSeek V3.1 TerminusWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K164K🏆 DeepSeek: DeepSeek V3.1 Terminus
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.15$0.21🏆 Cohere: Command R (08-2024)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.60$0.79🏆 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.
Yes🏆 DeepSeek: DeepSeek V3.1 Terminus

Frequently asked questions

Is Cohere: Command R (08-2024) better than DeepSeek: DeepSeek V3.1 Terminus?

Cohere: Command R (08-2024) and DeepSeek: DeepSeek V3.1 Terminus are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Cohere: Command R (08-2024) and DeepSeek: DeepSeek V3.1 Terminus?

Input: $0.15 vs $0.21 per 1M tokens. Output: $0.60 vs $0.79 per 1M tokens.

What context windows do Cohere: Command R (08-2024) and DeepSeek: DeepSeek V3.1 Terminus support?

Cohere: Command R (08-2024) supports up to 128K tokens. DeepSeek: DeepSeek V3.1 Terminus supports up to 164K tokens.

Do both Cohere: Command R (08-2024) and DeepSeek: DeepSeek V3.1 Terminus support tool calling?

Cohere: Command R (08-2024): yes. DeepSeek: DeepSeek V3.1 Terminus: yes.

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

Compare DeepSeek: DeepSeek V3.1 Terminus with other models