Auto-generated comparison

google/gemma-3-4b-it vs Qwen: Qwen3 VL 30B A3B Thinking

google/gemma-3-4b-it and Qwen: Qwen3 VL 30B A3B Thinking are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

Capabilitygoogle/gemma-3-4b-itQwen: Qwen3 VL 30B A3B ThinkingWinner
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$0.13🏆 google/gemma-3-4b-it
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.08$1.56🏆 google/gemma-3-4b-it
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Qwen: Qwen3 VL 30B A3B Thinking
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 Qwen: Qwen3 VL 30B A3B Thinking

Frequently asked questions

Is google/gemma-3-4b-it better than Qwen: Qwen3 VL 30B A3B Thinking?

google/gemma-3-4b-it and Qwen: Qwen3 VL 30B A3B Thinking are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between google/gemma-3-4b-it and Qwen: Qwen3 VL 30B A3B Thinking?

Input: $0.04 vs $0.13 per 1M tokens. Output: $0.08 vs $1.56 per 1M tokens.

What context windows do google/gemma-3-4b-it and Qwen: Qwen3 VL 30B A3B Thinking support?

google/gemma-3-4b-it supports up to 131K tokens. Qwen: Qwen3 VL 30B A3B Thinking supports up to 131K tokens.

Do both google/gemma-3-4b-it and Qwen: Qwen3 VL 30B A3B Thinking support tool calling?

google/gemma-3-4b-it: not advertised. Qwen: Qwen3 VL 30B A3B Thinking: yes.

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

Compare Qwen: Qwen3 VL 30B A3B Thinking with other models