Model Comparison

Gemma 3n E4B Instructed vs Qwen2.5 VL 32B Instruct

Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Qwen2.5 VL 32B Instruct is better at 5 benchmarks (GPQA, HumanEval, MBPP, MMLU, MMLU-Pro).

Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

25.5B diff

Qwen2.5 VL 32B Instruct has 25.5B more parameters than Gemma 3n E4B Instructed, making it 318.8% larger.

Gemma 3n E4B Instructed

8.0Bparameters

Qwen2.5 VL 32B Instruct

33.5Bparameters

8.0B

Gemma 3n E4B Instructed

33.5B

Qwen2.5 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).

Gemma 3n E4B Instructed

Input32,000 tokens

Output32,000 tokens

Qwen2.5 VL 32B Instruct

Input- tokens

Output- tokens

Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B Instructed and Qwen2.5 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

Qwen2.5 VL 32B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while Qwen2.5 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

Qwen2.5 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 Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Gemma 3n E4B Instructed is 4 months newer than Qwen2.5 VL 32B Instruct.

Gemma 3n E4B Instructed

Jun 26, 2025

11 months ago

3mo newer

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 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 Qwen2.5 VL 32B Instruct's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Qwen2.5 VL 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Gemma 3n E4B Instructed

View details

Google

Larger context window (32,000 tokens)

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher GPQA score (46.0% vs 23.7%)

Higher HumanEval score (91.5% vs 75.0%)

Higher MBPP score (84.0% vs 63.6%)

Higher MMLU score (78.4% vs 64.9%)

Higher MMLU-Pro score (68.8% vs 50.6%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3n E4B Instructed	Qwen2.5 VL 32B Instruct

FAQ

Common questions about Gemma 3n E4B Instructed vs Qwen2.5 VL 32B Instruct.

Which is better, Gemma 3n E4B Instructed or Qwen2.5 VL 32B Instruct?

Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and Qwen2.5 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 Qwen2.5 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%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the context window sizes for Gemma 3n E4B Instructed and Qwen2.5 VL 32B Instruct?

Gemma 3n E4B Instructed supports 32K tokens and Qwen2.5 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 Qwen2.5 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 Qwen2.5 VL 32B Instruct?

Gemma 3n E4B Instructed is developed by Google and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.