Model Comparison

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

Qwen2.5 72B 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 Qwen2.5 72B Instruct is better at 5 benchmarks (GPQA, HumanEval, LiveCodeBench, MBPP, MMLU-Pro).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Thu Apr 16 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

Thu Apr 16 2026 • llm-stats.com

Gemma 3n E2B Instructed

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

Qwen2.5 72B Instruct

Input tokens$0.35

Output tokens$0.40

Best providerDeepinfra

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Model Size

Parameter count comparison

64.7B diff

Qwen2.5 72B Instruct has 64.7B more parameters than Gemma 3n E2B Instructed, making it 808.8% larger.

Gemma 3n E2B Instructed

8.0Bparameters

Qwen2.5 72B Instruct

72.7Bparameters

8.0B

Gemma 3n E2B Instructed

72.7B

Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Gemma 3n E2B Instructed

Input- tokens

Output- tokens

Qwen2.5 72B Instruct

Input131,072 tokens

Output8,192 tokens

Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas Qwen2.5 72B Instruct does not.

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

Gemma 3n E2B Instructed

Text

Images

Audio

Video

Qwen2.5 72B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while Qwen2.5 72B Instruct uses Qwen.

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

Gemma 3n E2B Instructed

Proprietary

Closed source

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while Qwen2.5 72B Instruct was released on 2024-09-19.

Gemma 3n E2B Instructed is 9 months newer than Qwen2.5 72B Instruct.

Gemma 3n E2B Instructed

Jun 26, 2025

9 months ago

9mo newer

Qwen2.5 72B Instruct

Sep 19, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 72B 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 Qwen2.5 72B Instruct's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Qwen2.5 72B Instruct

—

Outputs Comparison

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Key Takeaways

Gemma 3n E2B Instructed

View details

Google

Supports multimodal inputs

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Has open weights

Higher GPQA score (49.0% vs 24.8%)

Higher HumanEval score (86.6% vs 66.5%)

Higher LiveCodeBench score (55.5% vs 13.2%)

Higher MBPP score (88.2% vs 56.6%)

Higher MMLU-Pro score (71.1% vs 40.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3n E2B Instructed	Qwen2.5 72B Instruct

FAQ

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

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and Qwen2.5 72B 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%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

Gemma 3n E2B Instructed supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

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

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

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Gemma 3n E2B Instructed

Qwen2.5 72B Instruct

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Gemma 3n E2B Instructed

Qwen2.5 72B Instruct

Detailed Comparison

FAQ

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

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

What are the context window sizes for Gemma 3n E2B Instructed and Qwen2.5 72B Instruct?

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

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