Model Comparison

Gemma 3n E2B Instructed vs Qwen3 VL 4B Instruct

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Qwen3 VL 4B Instruct is better at 5 benchmarks (AIME 2025, Include, MMLU, MMLU-Pro, MMLU-ProX).

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers

Fri May 01 2026 • llm-stats.com

Gemma 3n E2B Instructed

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

Qwen3 VL 4B Instruct

Input tokens$0.10

Output tokens$0.60

Best providerDeepinfra

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Model Size

Parameter count comparison

4.0B diff

Gemma 3n E2B Instructed has 4.0B more parameters than Qwen3 VL 4B Instruct, making it 100.0% larger.

Gemma 3n E2B Instructed

8.0Bparameters

Qwen3 VL 4B Instruct

4.0Bparameters

8.0B

Gemma 3n E2B Instructed

4.0B

Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).

Gemma 3n E2B Instructed

Input- tokens

Output- tokens

Qwen3 VL 4B Instruct

Input262,144 tokens

Output262,144 tokens

Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed and Qwen3 VL 4B Instruct support multimodal inputs.

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

Gemma 3n E2B Instructed

Text

Images

Audio

Video

Qwen3 VL 4B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while Qwen3 VL 4B Instruct uses Apache 2.0.

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

Gemma 3n E2B Instructed

Proprietary

Closed source

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 3 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

10 months ago

Qwen3 VL 4B Instruct

Sep 22, 2025

7 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Qwen3 VL 4B Instruct's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3 VL 4B Instruct's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Qwen3 VL 4B Instruct

—

Outputs Comparison

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Key Takeaways

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Has open weights

Higher AIME 2025 score (46.6% vs 6.7%)

Higher Include score (61.4% vs 38.6%)

Higher MMLU score (77.2% vs 60.1%)

Higher MMLU-Pro score (67.1% vs 40.5%)

Higher MMLU-ProX score (59.4% vs 8.1%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3n E2B Instructed	Qwen3 VL 4B Instruct

FAQ

Common questions about Gemma 3n E2B Instructed vs Qwen3 VL 4B Instruct

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and Qwen3 VL 4B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

Gemma 3n E2B Instructed supports an unknown number of tokens and Qwen3 VL 4B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

Gemma 3n E2B Instructed is developed by Google and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.

Gemma 3n E2B Instructed vs Qwen3 VL 4B Instruct

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Gemma 3n E2B Instructed

Qwen3 VL 4B Instruct

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Gemma 3n E2B Instructed

Qwen3 VL 4B Instruct

Detailed Comparison

FAQ

Which is better, Gemma 3n E2B Instructed or Qwen3 VL 4B Instruct?

How does Gemma 3n E2B Instructed compare to Qwen3 VL 4B Instruct in benchmarks?

What are the context window sizes for Gemma 3n E2B Instructed and Qwen3 VL 4B Instruct?

What are the main differences between Gemma 3n E2B Instructed and Qwen3 VL 4B Instruct?

Who makes Gemma 3n E2B Instructed and Qwen3 VL 4B Instruct?