Model Comparison

Gemma 3n E2B Instructed LiteRT (Preview) vs Phi 4 Mini Reasoning

Phi 4 Mini Reasoning significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Phi 4 Mini Reasoning is better at 1 benchmark (GPQA).

Phi 4 Mini Reasoning 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
Google
Gemma 3n E2B Instructed LiteRT (Preview)
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

1.9B diff

Phi 4 Mini Reasoning has 1.9B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 99.0% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
3.8B
Phi 4 Mini Reasoning

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas Phi 4 Mini Reasoning does not.

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

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

Phi 4 Mini Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, 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 Instructed LiteRT (Preview)

Gemma

Open weights

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Phi 4 Mini Reasoning was released on 2025-04-30.

Gemma 3n E2B Instructed LiteRT (Preview) is 1 month newer than Phi 4 Mini Reasoning.

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

11 months ago

2w newer
Phi 4 Mini Reasoning

Apr 30, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) 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 Instructed LiteRT (Preview) (2024-06-01).

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Phi 4 Mini Reasoning

Feb 2025

8 mo newer

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Microsoft
Higher GPQA score (52.0% vs 24.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Microsoft
Phi 4 Mini Reasoning

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Phi 4 Mini Reasoning

Phi 4 Mini Reasoning significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) is made by Google and Phi 4 Mini Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E2B Instructed LiteRT (Preview) 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 (Gemma vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and Phi 4 Mini Reasoning is developed by Microsoft.