Model Comparison

Gemma 3n E4B Instructed vs QvQ-72B-PreviewWhich is better in 2026?

Comparing Gemma 3n E4B Instructed and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

Verdict: Gemma 3n E4B Instructed vs QvQ-72B-Preview — which is better?

Gemma 3n E4B Instructed (by Google) and QvQ-72B-Preview (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.

Choose Gemma 3n E4B Instructed if…

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

Choose QvQ-72B-Preview if…

  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B Instructed and QvQ-72B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

65.4B diff

QvQ-72B-Preview has 65.4B more parameters than Gemma 3n E4B Instructed, making it 817.5% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
8.0B
Gemma 3n E4B Instructed
73.4B
QvQ-72B-Preview

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
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B Instructed and QvQ-72B-Preview 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

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.

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

Gemma 3n E4B Instructed

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while QvQ-72B-Preview was released on 2024-12-25.

Gemma 3n E4B Instructed is 6 months newer than QvQ-72B-Preview.

Gemma 3n E4B Instructed

Jun 26, 2025

11 months ago

6mo newer
QvQ-72B-Preview

Dec 25, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while QvQ-72B-Preview'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 QvQ-72B-Preview's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

QvQ-72B-Preview

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about Gemma 3n E4B Instructed vs QvQ-72B-Preview.

Which is better, Gemma 3n E4B Instructed or QvQ-72B-Preview?

Gemma 3n E4B Instructed (Google) and QvQ-72B-Preview (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 E4B Instructed compare to QvQ-72B-Preview in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Gemma 3n E4B Instructed and QvQ-72B-Preview?

Gemma 3n E4B Instructed supports 32K tokens and QvQ-72B-Preview 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 QvQ-72B-Preview?

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

Who makes Gemma 3n E4B Instructed and QvQ-72B-Preview?

Gemma 3n E4B Instructed is developed by Google and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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