Model Comparison

Gemma 3n E2B vs Qwen2.5 7B Instruct

Comparing Gemma 3n E2B and Qwen2.5 7B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and Qwen2.5 7B Instruct don'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

390.0M diff

Gemma 3n E2B has 0.4B more parameters than Qwen2.5 7B Instruct, making it 5.1% larger.

Gemma 3n E2B

8.0Bparameters

Qwen2.5 7B Instruct

7.6Bparameters

8.0B

Gemma 3n E2B

7.6B

Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Gemma 3n E2B

Input- tokens

Output- tokens

Qwen2.5 7B Instruct

Input131,072 tokens

Output8,192 tokens

Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas Qwen2.5 7B Instruct does not.

Gemma 3n E2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B

Text

Images

Audio

Video

Qwen2.5 7B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Qwen2.5 7B Instruct uses Apache 2.0.

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

Gemma 3n E2B

Proprietary

Closed source

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Qwen2.5 7B Instruct was released on 2024-09-19.

Gemma 3n E2B is 9 months newer than Qwen2.5 7B Instruct.

Gemma 3n E2B

Jun 26, 2025

10 months ago

9mo newer

Qwen2.5 7B Instruct

Sep 19, 2024

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 7B 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 7B Instruct's cutoff date.

Gemma 3n E2B

Jun 2024

Qwen2.5 7B Instruct

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Outputs Comparison

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Key Takeaways

Gemma 3n E2B

View details

Google

Supports multimodal inputs

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3n E2B	Qwen2.5 7B Instruct

FAQ

Common questions about Gemma 3n E2B vs Qwen2.5 7B Instruct.

Which is better, Gemma 3n E2B or Qwen2.5 7B Instruct?

Gemma 3n E2B (Google) and Qwen2.5 7B 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 7B 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 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

What are the context window sizes for Gemma 3n E2B and Qwen2.5 7B Instruct?

Gemma 3n E2B supports an unknown number of tokens and Qwen2.5 7B Instruct supports 131K 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 E2B and Qwen2.5 7B Instruct?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B and Qwen2.5 7B Instruct?

Gemma 3n E2B is developed by Google and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.