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Gemma 3n E4B Instructed LiteRT Preview vs Qwen3 VL 32B Thinking

Qwen3 VL 32B Thinking leads the LLM Stats Score 23.5 to -5.0.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 32B Thinking leads the overall LLM Stats Score 23.5 to -5.0, ranking #166 overall.

In the 6 individual benchmarks reported for both models, Qwen3 VL 32B Thinking wins 6; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3n E4B Instructed LiteRT Preview

  • you are already invested in the Google ecosystem

Choose Qwen3 VL 32B Thinking

  • overall performance matters — it scores 23.5 and ranks #166 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 6 exact shared results
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Gemma 3n E4B Instructed LiteRT Preview
Google
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-5.0
#344
23.5
#166
Reasoning
-5.8
#338
24.7
#145
Cost, coverage & limits
Benchmark wins
0 of 6
6 of 6
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
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Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemma 3n E4B Instructed LiteRT Preview
Qwen3 VL 32B Thinking
Math
-0.9#293
25.5#103
Finance
-3.9#201
28.1#33
Legal
-3.9#187
27.5#26
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for Gemma 3n E4B Instructed LiteRT Preview · 47 for Qwen3 VL 32B Thinking

6 shared

Gemma 3n E4B 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.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

31.1B diff

Qwen3 VL 32B Thinking has 31.1B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 1627.7% larger.

Google
Gemma 3n E4B Instructed LiteRT Preview
1.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
1.9B
Gemma 3n E4B Instructed LiteRT Preview
33.0B
Qwen3 VL 32B Thinking

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E4B 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 E4B Instructed LiteRT Preview

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B 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 E4B Instructed LiteRT Preview

Gemma

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B 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 E4B Instructed LiteRT Preview.

Gemma 3n E4B Instructed LiteRT Preview

May 20, 2025

1.3 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

11 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B 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 E4B 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 E4B Instructed LiteRT Preview

Jun 2024

Qwen3 VL 32B Thinking

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E4B Instructed LiteRT Preview and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Gemma 3n E4B Instructed LiteRT Preview
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about Gemma 3n E4B Instructed LiteRT Preview vs Qwen3 VL 32B Thinking.

Which is better, Gemma 3n E4B Instructed LiteRT Preview or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking leads the LLM Stats Score 23.5 to -5.0. Gemma 3n E4B 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3n E4B Instructed LiteRT Preview compare to Qwen3 VL 32B Thinking in benchmarks?

Gemma 3n E4B Instructed LiteRT Preview scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, HumanEval: 75.0%. 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 E4B Instructed LiteRT Preview and Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (-5.0 vs 23.5), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B Instructed LiteRT Preview and Qwen3 VL 32B Thinking?

Gemma 3n E4B Instructed LiteRT Preview is developed by Google and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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