Model Comparison

Gemma 3n E2B vs Phi 4

Phi 4 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E2B outperforms in 0 benchmarks, while Phi 4 is better at 1 benchmark (DROP).

Phi 4 significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

6.7B diff

Phi 4 has 6.7B more parameters than Gemma 3n E2B, making it 83.8% larger.

Google
Gemma 3n E2B
8.0Bparameters
Microsoft
Phi 4
14.7Bparameters
8.0B
Gemma 3n E2B
14.7B
Phi 4

Context Window

Maximum input and output token capacity

Only Phi 4 specifies input context (16,000 tokens). Only Phi 4 specifies output context (16,000 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas Phi 4 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

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Phi 4 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

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Phi 4 was released on 2024-12-12.

Gemma 3n E2B is 7 months newer than Phi 4.

Gemma 3n E2B

Jun 26, 2025

11 months ago

6mo newer
Phi 4

Dec 12, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2024-06-01.

They should have similar awareness of historical events and information up to this date.

Gemma 3n E2B

Jun 2024

Phi 4

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Supports multimodal inputs
Larger context window (16,000 tokens)
Has open weights
Higher DROP score (75.5% vs 53.9%)

Detailed Comparison

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

FAQ

Common questions about Gemma 3n E2B vs Phi 4.

Which is better, Gemma 3n E2B or Phi 4?

Phi 4 significantly outperforms across most benchmarks. Gemma 3n E2B is made by Google and Phi 4 is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E2B compare to Phi 4 in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

What are the context window sizes for Gemma 3n E2B and Phi 4?

Gemma 3n E2B supports an unknown number of tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E2B and Phi 4?

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

Who makes Gemma 3n E2B and Phi 4?

Gemma 3n E2B is developed by Google and Phi 4 is developed by Microsoft.