Model Comparison

Gemma 3n E4B Instructed vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Qwen2.5 14B Instruct is better at 5 benchmarks (GPQA, HumanEval, MBPP, MMLU, MMLU-Pro).

Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

Tue Apr 21 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

Tue Apr 21 2026 • llm-stats.com

Gemma 3n E4B Instructed

Input tokens$20.00

Output tokens$40.00

Best providerTogether

Qwen2.5 14B Instruct

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

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Model Size

Parameter count comparison

6.7B diff

Qwen2.5 14B Instruct has 6.7B more parameters than Gemma 3n E4B Instructed, making it 83.8% larger.

Gemma 3n E4B Instructed

8.0Bparameters

Qwen2.5 14B Instruct

14.7Bparameters

8.0B

Gemma 3n E4B Instructed

14.7B

Qwen2.5 14B Instruct

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).

Gemma 3n E4B Instructed

Input32,000 tokens

Output32,000 tokens

Qwen2.5 14B Instruct

Input- tokens

Output- tokens

Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B Instructed

Text

Images

Audio

Video

Qwen2.5 14B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while Qwen2.5 14B Instruct uses Apache 2.0.

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

Gemma 3n E4B Instructed

Proprietary

Closed source

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Qwen2.5 14B Instruct was released on 2024-09-19.

Gemma 3n E4B Instructed is 9 months newer than Qwen2.5 14B Instruct.

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

9mo newer

Qwen2.5 14B Instruct

Sep 19, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 14B Instruct'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 Qwen2.5 14B Instruct's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Qwen2.5 14B Instruct

—

Outputs Comparison

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Key Takeaways

Gemma 3n E4B Instructed

View details

Google

Larger context window (32,000 tokens)

Supports multimodal inputs

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher GPQA score (45.5% vs 23.7%)

Higher HumanEval score (83.5% vs 75.0%)

Higher MBPP score (82.0% vs 63.6%)

Higher MMLU score (79.7% vs 64.9%)

Higher MMLU-Pro score (63.7% vs 50.6%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3n E4B Instructed	Qwen2.5 14B Instruct

FAQ

Common questions about Gemma 3n E4B Instructed vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and Qwen2.5 14B 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 E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

Gemma 3n E4B Instructed supports 32K tokens and Qwen2.5 14B Instruct supports an unknown number of 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 Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Gemma 3n E4B Instructed is developed by Google and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.

Gemma 3n E4B Instructed vs Qwen2.5 14B Instruct

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Gemma 3n E4B Instructed

Qwen2.5 14B Instruct

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Gemma 3n E4B Instructed

Qwen2.5 14B Instruct

Detailed Comparison

FAQ

Which is better, Gemma 3n E4B Instructed or Qwen2.5 14B Instruct?

How does Gemma 3n E4B Instructed compare to Qwen2.5 14B Instruct in benchmarks?

What are the context window sizes for Gemma 3n E4B Instructed and Qwen2.5 14B Instruct?

What are the main differences between Gemma 3n E4B Instructed and Qwen2.5 14B Instruct?

Who makes Gemma 3n E4B Instructed and Qwen2.5 14B Instruct?