Model Comparison

DiffusionGemma 26B-A4B vs Qwen3 VL 32B ThinkingWhich is better in 2026?

DiffusionGemma 26B-A4B has a slight edge in benchmark performance.

Verdict: DiffusionGemma 26B-A4B vs Qwen3 VL 32B Thinking — which is better?

DiffusionGemma 26B-A4B (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.

DiffusionGemma 26B-A4B outperforms in 3 benchmarks (GPQA, LiveCodeBench v6, MathVision), while Qwen3 VL 32B Thinking is better at 2 benchmarks (MMLU-Pro, MMMU-Pro). DiffusionGemma 26B-A4B has a slight edge in benchmark performance.

Choose DiffusionGemma 26B-A4B if…

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
  • you want the most recent training data — it shipped Jun 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

DiffusionGemma 26B-A4B outperforms in 3 benchmarks (GPQA, LiveCodeBench v6, MathVision), while Qwen3 VL 32B Thinking is better at 2 benchmarks (MMLU-Pro, MMMU-Pro).

DiffusionGemma 26B-A4B has a slight edge in benchmark performance.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

7.8B diff

Qwen3 VL 32B Thinking has 7.8B more parameters than DiffusionGemma 26B-A4B, making it 31.0% larger.

Google
DiffusionGemma 26B-A4B
25.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
25.2B
DiffusionGemma 26B-A4B
33.0B
Qwen3 VL 32B Thinking

Input Capabilities

Supported data types and modalities

Both DiffusionGemma 26B-A4B and Qwen3 VL 32B Thinking support multimodal inputs.

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

DiffusionGemma 26B-A4B

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.

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while Qwen3 VL 32B Thinking was released on 2025-09-22.

DiffusionGemma 26B-A4B is 9 months newer than Qwen3 VL 32B Thinking.

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

8mo newer
Qwen3 VL 32B Thinking

Sep 22, 2025

10 months ago

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

Qwen3 VL 32B Thinking

Outputs Comparison

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Key Takeaways

Higher GPQA score (73.2% vs 73.1%)
Higher LiveCodeBench v6 score (69.1% vs 65.6%)
Higher MathVision score (70.5% vs 70.2%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Higher MMLU-Pro score (82.1% vs 77.6%)
Higher MMMU-Pro score (68.1% vs 54.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground
AI Model Comparison Table
Feature
Google
DiffusionGemma 26B-A4B
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about DiffusionGemma 26B-A4B vs Qwen3 VL 32B Thinking.

Which is better, DiffusionGemma 26B-A4B or Qwen3 VL 32B Thinking?

DiffusionGemma 26B-A4B has a slight edge in benchmark performance. DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B compare to Qwen3 VL 32B Thinking in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. 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 DiffusionGemma 26B-A4B and Qwen3 VL 32B Thinking?

DiffusionGemma 26B-A4B is developed by Google and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.