Auto-generated comparison

Cohere: Command R7B (12-2024) vs google/gemma-3-4b-it

google/gemma-3-4b-it 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-3-4b-itWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K131K🏆 google/gemma-3-4b-it
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$0.08🏆 google/gemma-3-4b-it
Tool / function calling
First-class support for emitting structured tool calls.
Tie
Vision input
Accepts image inputs alongside text.
Yes🏆 google/gemma-3-4b-it
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Cohere: Command R7B (12-2024) better than google/gemma-3-4b-it?

google/gemma-3-4b-it 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-3-4b-it?

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

What context windows do Cohere: Command R7B (12-2024) and google/gemma-3-4b-it support?

Cohere: Command R7B (12-2024) supports up to 128K tokens. google/gemma-3-4b-it supports up to 131K tokens.

Do both Cohere: Command R7B (12-2024) and google/gemma-3-4b-it support tool calling?

Cohere: Command R7B (12-2024): not advertised. google/gemma-3-4b-it: not advertised.

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

Compare google/gemma-3-4b-it with other models