Auto-generated comparison

Cohere: Command R7B (12-2024) vs Google: Gemma 3n 2B (free)

Google: Gemma 3n 2B (free) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityCohere: Command R7B (12-2024)Google: Gemma 3n 2B (free)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K8K🏆 Cohere: Command R7B (12-2024)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.04$0.00🏆 Google: Gemma 3n 2B (free)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.15$0.00🏆 Google: Gemma 3n 2B (free)
Tool / function calling
First-class support for emitting structured tool calls.
Tie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Cohere: Command R7B (12-2024) better than Google: Gemma 3n 2B (free)?

Google: Gemma 3n 2B (free) wins on 2 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 3n 2B (free)?

Input: $0.04 vs $0.00 per 1M tokens. Output: $0.15 vs $0.00 per 1M tokens.

What context windows do Cohere: Command R7B (12-2024) and Google: Gemma 3n 2B (free) support?

Cohere: Command R7B (12-2024) supports up to 128K tokens. Google: Gemma 3n 2B (free) supports up to 8K tokens.

Do both Cohere: Command R7B (12-2024) and Google: Gemma 3n 2B (free) support tool calling?

Cohere: Command R7B (12-2024): not advertised. Google: Gemma 3n 2B (free): not advertised.

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

Compare Google: Gemma 3n 2B (free) with other models