Auto-generated comparison

Google: Gemma 3 12B vs Qwen: Qwen3 VL 235B A22B Thinking

Google: Gemma 3 12B and Qwen: Qwen3 VL 235B A22B 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 12BQwen: Qwen3 VL 235B A22B 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$0.26🏆 Google: Gemma 3 12B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.13$2.60🏆 Google: Gemma 3 12B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Qwen: Qwen3 VL 235B A22B Thinking
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 Qwen: Qwen3 VL 235B A22B Thinking

Frequently asked questions

Is Google: Gemma 3 12B better than Qwen: Qwen3 VL 235B A22B Thinking?

Google: Gemma 3 12B and Qwen: Qwen3 VL 235B A22B 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 12B and Qwen: Qwen3 VL 235B A22B Thinking?

Input: $0.04 vs $0.26 per 1M tokens. Output: $0.13 vs $2.60 per 1M tokens.

What context windows do Google: Gemma 3 12B and Qwen: Qwen3 VL 235B A22B Thinking support?

Google: Gemma 3 12B supports up to 131K tokens. Qwen: Qwen3 VL 235B A22B Thinking supports up to 131K tokens.

Do both Google: Gemma 3 12B and Qwen: Qwen3 VL 235B A22B Thinking support tool calling?

Google: Gemma 3 12B: not advertised. Qwen: Qwen3 VL 235B A22B Thinking: yes.

Compare Google: Gemma 3 12B with other models

Compare Qwen: Qwen3 VL 235B A22B Thinking with other models