Auto-generated comparison

Cohere: Command R7B (12-2024) vs Google: Gemma 3 27B

Cohere: Command R7B (12-2024) and Google: Gemma 3 27B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityCohere: Command R7B (12-2024)Google: Gemma 3 27BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K131K🏆 Google: Gemma 3 27B
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.04$0.08🏆 Cohere: Command R7B (12-2024)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.15$0.16🏆 Cohere: Command R7B (12-2024)
Tool / function calling
First-class support for emitting structured tool calls.
Tie
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemma 3 27B
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Cohere: Command R7B (12-2024) better than Google: Gemma 3 27B?

Cohere: Command R7B (12-2024) and Google: Gemma 3 27B 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 R7B (12-2024) and Google: Gemma 3 27B?

Input: $0.04 vs $0.08 per 1M tokens. Output: $0.15 vs $0.16 per 1M tokens.

What context windows do Cohere: Command R7B (12-2024) and Google: Gemma 3 27B support?

Cohere: Command R7B (12-2024) supports up to 128K tokens. Google: Gemma 3 27B supports up to 131K tokens.

Do both Cohere: Command R7B (12-2024) and Google: Gemma 3 27B support tool calling?

Cohere: Command R7B (12-2024): not advertised. Google: Gemma 3 27B: not advertised.

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

Compare Google: Gemma 3 27B with other models