Auto-generated comparison

google/gemma-3-4b-it vs Meta: Llama 3.2 3B Instruct (free)

Meta: Llama 3.2 3B Instruct (free) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

Capabilitygoogle/gemma-3-4b-itMeta: Llama 3.2 3B Instruct (free)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K131KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.04$0.00🏆 Meta: Llama 3.2 3B Instruct (free)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.08$0.00🏆 Meta: Llama 3.2 3B Instruct (free)
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 google/gemma-3-4b-it better than Meta: Llama 3.2 3B Instruct (free)?

Meta: Llama 3.2 3B Instruct (free) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between google/gemma-3-4b-it and Meta: Llama 3.2 3B Instruct (free)?

Input: $0.04 vs $0.00 per 1M tokens. Output: $0.08 vs $0.00 per 1M tokens.

What context windows do google/gemma-3-4b-it and Meta: Llama 3.2 3B Instruct (free) support?

google/gemma-3-4b-it supports up to 131K tokens. Meta: Llama 3.2 3B Instruct (free) supports up to 131K tokens.

Do both google/gemma-3-4b-it and Meta: Llama 3.2 3B Instruct (free) support tool calling?

google/gemma-3-4b-it: not advertised. Meta: Llama 3.2 3B Instruct (free): not advertised.

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

Compare Meta: Llama 3.2 3B Instruct (free) with other models