Model Comparison

Gemma 3n E2B vs Phi-3.5-mini-instruct

Phi-3.5-mini-instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Gemma 3n E2B outperforms in 1 benchmarks (HellaSwag), while Phi-3.5-mini-instruct is better at 6 benchmarks (ARC-C, BIG-Bench Hard, BoolQ, PIQA, Social IQa, Winogrande).

Phi-3.5-mini-instruct significantly outperforms across most benchmarks.

Thu Apr 30 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 30 2026 • llm-stats.com
Google
Gemma 3n E2B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Microsoft
Phi-3.5-mini-instruct
Input tokens$0.10
Output tokens$0.10
Best providerAzure
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-3.5-mini-instruct, making it 110.5% larger.

Google
Gemma 3n E2B
8.0Bparameters
Microsoft
Phi-3.5-mini-instruct
3.8Bparameters
8.0B
Gemma 3n E2B
3.8B
Phi-3.5-mini-instruct

Context Window

Maximum input and output token capacity

Only Phi-3.5-mini-instruct specifies input context (128,000 tokens). Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas Phi-3.5-mini-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

Phi-3.5-mini-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Phi-3.5-mini-instruct 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-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Phi-3.5-mini-instruct was released on 2024-08-23.

Gemma 3n E2B is 10 months newer than Phi-3.5-mini-instruct.

Gemma 3n E2B

Jun 26, 2025

10 months ago

10mo newer
Phi-3.5-mini-instruct

Aug 23, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Phi-3.5-mini-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 Phi-3.5-mini-instruct's cutoff date.

Gemma 3n E2B

Jun 2024

Phi-3.5-mini-instruct

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Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Higher HellaSwag score (72.2% vs 69.4%)
Microsoft
Larger context window (128,000 tokens)
Has open weights
Higher ARC-C score (84.6% vs 51.7%)
Higher BIG-Bench Hard score (69.0% vs 44.3%)
Higher BoolQ score (78.0% vs 76.4%)
Higher PIQA score (81.0% vs 78.9%)
Higher Social IQa score (74.7% vs 48.8%)
Higher Winogrande score (68.5% vs 66.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
Microsoft
Phi-3.5-mini-instruct

FAQ

Common questions about Gemma 3n E2B vs Phi-3.5-mini-instruct

Phi-3.5-mini-instruct significantly outperforms across most benchmarks. Gemma 3n E2B is made by Google and Phi-3.5-mini-instruct is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Phi-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.
Gemma 3n E2B supports an unknown number of tokens and Phi-3.5-mini-instruct supports 128K 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 MIT). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B is developed by Google and Phi-3.5-mini-instruct is developed by Microsoft.