Auto-generated comparison

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

Google: Gemma 3 12B 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)Google: Gemma 3 12BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K131K🏆 Google: Gemma 3 12B
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.04$0.04🏆 Cohere: Command R7B (12-2024)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.15$0.13🏆 Google: Gemma 3 12B
Tool / function calling
First-class support for emitting structured tool calls.
Tie
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemma 3 12B
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

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

Google: Gemma 3 12B 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 Google: Gemma 3 12B?

Input: $0.04 vs $0.04 per 1M tokens. Output: $0.15 vs $0.13 per 1M tokens.

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

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

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

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

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

Compare Google: Gemma 3 12B with other models