Model Comparison

Gemma 4 12B vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Gemma 4 12B significantly outperforms across most benchmarks.

Verdict: Gemma 4 12B vs Qwen3 VL 32B Thinking — which is better?

Gemma 4 12B (by Google) and Qwen3 VL 32B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 4 12B outperforms in 4 benchmarks (GPQA, LiveCodeBench v6, MathVision, MMMU-Pro), while Qwen3 VL 32B Thinking is better at 1 benchmark (MMLU-Pro). Gemma 4 12B significantly outperforms across most benchmarks.

Choose Gemma 4 12B if…

you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
you want the most recent training data — it shipped May 2026

Choose Qwen3 VL 32B Thinking if…

you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 4 12B outperforms in 4 benchmarks (GPQA, LiveCodeBench v6, MathVision, MMMU-Pro), while Qwen3 VL 32B Thinking is better at 1 benchmark (MMLU-Pro).

Gemma 4 12B significantly outperforms across most benchmarks.

Sat Jul 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

21.0B diff

Qwen3 VL 32B Thinking has 21.0B more parameters than Gemma 4 12B, making it 175.9% larger.

Gemma 4 12B

12.0Bparameters

Qwen3 VL 32B Thinking

33.0Bparameters

12.0B

Gemma 4 12B

33.0B

Qwen3 VL 32B Thinking

Input Capabilities

Supported data types and modalities

Both Gemma 4 12B and Qwen3 VL 32B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 4 12B

Text

Images

Audio

Video

Qwen3 VL 32B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Gemma 4 12B

Apache 2.0

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 4 12B was released on 2026-05-23, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Gemma 4 12B is 8 months newer than Qwen3 VL 32B Thinking.

Gemma 4 12B

May 23, 2026

2 months ago

8mo newer

Qwen3 VL 32B Thinking

Sep 22, 2025

10 months ago

Knowledge Cutoff

When training data ends

Gemma 4 12B has a documented knowledge cutoff of 2025-01-01, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm Gemma 4 12B's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

Gemma 4 12B

Jan 2025

Qwen3 VL 32B Thinking

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Outputs Comparison

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Key Takeaways

Gemma 4 12B

View details

Google

Higher GPQA score (78.8% vs 73.1%)

Higher LiveCodeBench v6 score (72.0% vs 65.6%)

Higher MathVision score (79.7% vs 70.2%)

Higher MMMU-Pro score (69.1% vs 68.1%)

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Higher MMLU-Pro score (82.1% vs 77.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 12B and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Gemma 4 12B

✓ Preferred

Qwen3 VL 32B Thinking

Open in Playground

AI Model Comparison Table
Feature	Gemma 4 12B	Qwen3 VL 32B Thinking

FAQ

Common questions about Gemma 4 12B vs Qwen3 VL 32B Thinking.

Which is better, Gemma 4 12B or Qwen3 VL 32B Thinking?

Gemma 4 12B significantly outperforms across most benchmarks. Gemma 4 12B is made by Google and Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 4 12B compare to Qwen3 VL 32B Thinking in benchmarks?

Gemma 4 12B scores FLEURS: 93.1%, MMMLU: 83.4%, MathVision: 79.7%, GPQA: 78.8%, AIME 2026: 77.5%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

Who makes Gemma 4 12B and Qwen3 VL 32B Thinking?

Gemma 4 12B is developed by Google and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

Gemma 4 12B vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Verdict: Gemma 4 12B vs Qwen3 VL 32B Thinking — which is better?

Choose Gemma 4 12B if…

Choose Qwen3 VL 32B Thinking if…

Performance Benchmarks

Arena Performance

Model Size

Input Capabilities

Gemma 4 12B

Qwen3 VL 32B Thinking

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Gemma 4 12B

Qwen3 VL 32B Thinking

Detailed Comparison

Judge for yourself.

FAQ

Which is better, Gemma 4 12B or Qwen3 VL 32B Thinking?

How does Gemma 4 12B compare to Qwen3 VL 32B Thinking in benchmarks?

Who makes Gemma 4 12B and Qwen3 VL 32B Thinking?

More Gemma 4 12B comparisons

More Qwen3 VL 32B Thinking comparisons

Gemma 4 12B vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Verdict: Gemma 4 12B vs Qwen3 VL 32B Thinking — which is better?

Choose Gemma 4 12B if…

Choose Qwen3 VL 32B Thinking if…

Performance Benchmarks

Arena Performance

Model Size

Input Capabilities

Gemma 4 12B

Qwen3 VL 32B Thinking

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Gemma 4 12B

Qwen3 VL 32B Thinking

Detailed Comparison

Judge for yourself.

Which is better, Gemma 4 12B or Qwen3 VL 32B Thinking?

How does Gemma 4 12B compare to Qwen3 VL 32B Thinking in benchmarks?

Who makes Gemma 4 12B and Qwen3 VL 32B Thinking?

Related comparisons

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