Model Comparison

Gemma 3n E2B vs Phi 4 Mini Reasoning

Comparing Gemma 3n E2B and Phi 4 Mini Reasoning across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and Phi 4 Mini Reasoning don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Google
Gemma 3n E2B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Microsoft
Phi 4 Mini Reasoning
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

4.2B diff

Gemma 3n E2B has 4.2B more parameters than Phi 4 Mini Reasoning, making it 110.5% larger.

Google
Gemma 3n E2B
8.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
8.0B
Gemma 3n E2B
3.8B
Phi 4 Mini Reasoning

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas Phi 4 Mini Reasoning 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

Phi 4 Mini Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Phi 4 Mini Reasoning uses MIT.

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

Gemma 3n E2B

Proprietary

Closed source

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Phi 4 Mini Reasoning was released on 2025-04-30.

Gemma 3n E2B is 2 months newer than Phi 4 Mini Reasoning.

Gemma 3n E2B

Jun 26, 2025

9 months ago

1mo newer
Phi 4 Mini Reasoning

Apr 30, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a knowledge cutoff of 2024-06-01, while Phi 4 Mini Reasoning has a cutoff of 2025-02-01.

Phi 4 Mini Reasoning has more recent training data (up to 2025-02-01), making it potentially better informed about events through that date compared to Gemma 3n E2B (2024-06-01).

Gemma 3n E2B

Jun 2024

Phi 4 Mini Reasoning

Feb 2025

8 mo newer

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Microsoft
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
Microsoft
Phi 4 Mini Reasoning

FAQ

Common questions about Gemma 3n E2B vs Phi 4 Mini Reasoning

Gemma 3n E2B (Google) and Phi 4 Mini Reasoning (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B is developed by Google and Phi 4 Mini Reasoning is developed by Microsoft.