Auto-generated comparison

Google: Gemma 3n 4B vs meta-llama/Llama-3.2-3B-Instruct

Google: Gemma 3n 4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemma 3n 4Bmeta-llama/Llama-3.2-3B-InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
33K80K🏆 meta-llama/Llama-3.2-3B-Instruct
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.02$0.05🏆 Google: Gemma 3n 4B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.04$0.34🏆 Google: Gemma 3n 4B
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 Google: Gemma 3n 4B better than meta-llama/Llama-3.2-3B-Instruct?

Google: Gemma 3n 4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemma 3n 4B and meta-llama/Llama-3.2-3B-Instruct?

Input: $0.02 vs $0.05 per 1M tokens. Output: $0.04 vs $0.34 per 1M tokens.

What context windows do Google: Gemma 3n 4B and meta-llama/Llama-3.2-3B-Instruct support?

Google: Gemma 3n 4B supports up to 33K tokens. meta-llama/Llama-3.2-3B-Instruct supports up to 80K tokens.

Do both Google: Gemma 3n 4B and meta-llama/Llama-3.2-3B-Instruct support tool calling?

Google: Gemma 3n 4B: not advertised. meta-llama/Llama-3.2-3B-Instruct: not advertised.

Compare Google: Gemma 3n 4B with other models

Compare meta-llama/Llama-3.2-3B-Instruct with other models