Model Comparison

Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Verdict: Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen3 VL 32B Thinking — which is better?

Gemma 3n E2B Instructed LiteRT (Preview) (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 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 6 benchmarks (AIME 2025, GPQA, Include, MMLU, MMLU-Pro, MMLU-ProX). Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Choose Gemma 3n E2B Instructed LiteRT (Preview) if…

  • you are already invested in the Google ecosystem

Choose Qwen3 VL 32B Thinking if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 6 benchmarks (AIME 2025, GPQA, Include, MMLU, MMLU-Pro, MMLU-ProX).

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

31.1B diff

Qwen3 VL 32B Thinking has 31.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 1627.7% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
33.0B
Qwen3 VL 32B Thinking

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed LiteRT (Preview) and Qwen3 VL 32B Thinking support multimodal inputs.

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

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, while Qwen3 VL 32B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 4 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.2 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

10 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a documented knowledge cutoff of 2024-06-01, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed LiteRT (Preview)'s training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Qwen3 VL 32B Thinking

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Higher AIME 2025 score (83.7% vs 6.7%)
Higher GPQA score (73.1% vs 24.8%)
Higher Include score (76.3% vs 38.6%)
Higher MMLU score (88.7% vs 60.1%)
Higher MMLU-Pro score (82.1% vs 40.5%)
Higher MMLU-ProX score (77.2% vs 8.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed LiteRT (Preview) and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed LiteRT (Preview)
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen3 VL 32B Thinking.

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) 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 3n E2B Instructed LiteRT (Preview) compare to Qwen3 VL 32B Thinking in benchmarks?

Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the main differences between Gemma 3n E2B Instructed LiteRT (Preview) and Qwen3 VL 32B Thinking?

Key differences include licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and Qwen3 VL 32B Thinking?

Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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