Model Comparison

Gemma 3n E4B Instructed vs Qwen3 VL 32B InstructWhich is better in 2026?

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Verdict: Gemma 3n E4B Instructed vs Qwen3 VL 32B Instruct — which is better?

Gemma 3n E4B Instructed (by Google) and Qwen3 VL 32B Instruct (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 E4B Instructed outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 6 benchmarks (AIME 2025, GPQA, Include, MMLU, MMLU-Pro, MMLU-ProX). Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Choose Gemma 3n E4B Instructed if…

  • you want predictable pricing at $20.00/M input and $40.00/M output

Choose Qwen3 VL 32B Instruct 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
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 6 benchmarks (AIME 2025, GPQA, Include, MMLU, MMLU-Pro, MMLU-ProX).

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

25.0B diff

Qwen3 VL 32B Instruct has 25.0B more parameters than Gemma 3n E4B Instructed, making it 312.5% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
8.0B
Gemma 3n E4B Instructed
33.0B
Qwen3 VL 32B Instruct

Context Window

Maximum input and output token capacity

Only Gemma 3n E4B Instructed specifies input context (32,000 tokens). Only Gemma 3n E4B Instructed specifies output context (32,000 tokens).

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Wed Jul 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B Instructed and Qwen3 VL 32B Instruct support multimodal inputs.

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

Gemma 3n E4B Instructed

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while Qwen3 VL 32B Instruct uses Apache 2.0.

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

Gemma 3n E4B Instructed

Proprietary

Closed source

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 3 months newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

1.0 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

9 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Qwen3 VL 32B Instruct's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3 VL 32B Instruct's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Qwen3 VL 32B Instruct

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (32,000 tokens)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher AIME 2025 score (66.2% vs 11.6%)
Higher GPQA score (68.9% vs 23.7%)
Higher Include score (74.0% vs 57.2%)
Higher MMLU score (86.4% vs 64.9%)
Higher MMLU-Pro score (78.6% vs 50.6%)
Higher MMLU-ProX score (73.4% vs 19.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

Gemma 3n E4B Instructed
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about Gemma 3n E4B Instructed vs Qwen3 VL 32B Instruct.

Which is better, Gemma 3n E4B Instructed or Qwen3 VL 32B Instruct?

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and Qwen3 VL 32B Instruct 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 E4B Instructed compare to Qwen3 VL 32B Instruct in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Gemma 3n E4B Instructed and Qwen3 VL 32B Instruct?

Gemma 3n E4B Instructed supports 32K tokens and Qwen3 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E4B Instructed and Qwen3 VL 32B Instruct?

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

Who makes Gemma 3n E4B Instructed and Qwen3 VL 32B Instruct?

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

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