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Gemma 3n E2B vs Qwen2.5 VL 72B Instruct

Comparing Gemma 3n E2B and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemma 3n E2B and Qwen2.5 VL 72B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 3n E2B

  • you want the most recent training data — it shipped Jun 2025

Choose Qwen2.5 VL 72B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemma 3n E2B
Google
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
Benchmark wins
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Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—
Released
Jun 2025
Jan 2025
License
Proprietary
tongyi-qianwen

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and Qwen2.5 VL 72B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

64.0B diff

Qwen2.5 VL 72B Instruct has 64.0B more parameters than Gemma 3n E2B, making it 800.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
8.0B
Gemma 3n E2B
72.0B
Qwen2.5 VL 72B Instruct

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B and Qwen2.5 VL 72B Instruct support multimodal inputs.

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

Gemma 3n E2B

Text
Images
Audio
Video

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.

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

Gemma 3n E2B

Proprietary

Closed source

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Gemma 3n E2B is 5 months newer than Qwen2.5 VL 72B Instruct.

Gemma 3n E2B

Jun 26, 2025

1.2 years ago

5mo newer
Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 VL 72B Instruct's cutoff date is not specified.

We can confirm Gemma 3n E2B's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen2.5 VL 72B Instruct's cutoff date.

Gemma 3n E2B

Jun 2024

Qwen2.5 VL 72B Instruct

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Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E2B and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

Gemma 3n E2B
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground

FAQ

Common questions about Gemma 3n E2B vs Qwen2.5 VL 72B Instruct.

Which is better, Gemma 3n E2B or Qwen2.5 VL 72B Instruct?

Gemma 3n E2B (Google) and Qwen2.5 VL 72B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3n E2B compare to Qwen2.5 VL 72B Instruct in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the main differences between Gemma 3n E2B and Qwen2.5 VL 72B Instruct?

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

Who makes Gemma 3n E2B and Qwen2.5 VL 72B Instruct?

Gemma 3n E2B is developed by Google and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.

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