Model Comparison

Gemma 3n E2B Instructed LiteRT (Preview) vs Phi 4Which is better in 2026?

Phi 4 significantly outperforms across most benchmarks.

Verdict: Gemma 3n E2B Instructed LiteRT (Preview) vs Phi 4 — which is better?

Gemma 3n E2B Instructed LiteRT (Preview) (by Google) and Phi 4 (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Phi 4 is better at 6 benchmarks (DROP, GPQA, HumanEval, MGSM, MMLU, MMLU-Pro). Phi 4 significantly outperforms across most benchmarks.

Choose Gemma 3n E2B Instructed LiteRT (Preview) if…

  • you want the most recent training data — it shipped May 2025

Choose Phi 4 if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Phi 4 is better at 6 benchmarks (DROP, GPQA, HumanEval, MGSM, MMLU, MMLU-Pro).

Phi 4 significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

12.8B diff

Phi 4 has 12.8B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 669.6% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
Microsoft
Phi 4
14.7Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
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 Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas Phi 4 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

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, while Phi 4 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

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 was released on 2024-12-12.

Gemma 3n E2B Instructed LiteRT (Preview) is 5 months newer than Phi 4.

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.0 years ago

5mo 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 Instructed LiteRT (Preview)

Jun 2024

Phi 4

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Microsoft
Larger context window (16,000 tokens)
Higher DROP score (75.5% vs 53.9%)
Higher GPQA score (56.1% vs 24.8%)
Higher HumanEval score (82.6% vs 66.5%)
Higher MGSM score (80.6% vs 53.1%)
Higher MMLU score (84.8% vs 60.1%)
Higher MMLU-Pro score (70.4% vs 40.5%)

Detailed Comparison

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

FAQ

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

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Phi 4?

Phi 4 significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) 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 Instructed LiteRT (Preview) compare to Phi 4 in benchmarks?

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 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 Instructed LiteRT (Preview) and Phi 4?

Gemma 3n E2B Instructed LiteRT (Preview) 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 Instructed LiteRT (Preview) and Phi 4?

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

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and Phi 4?

Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and Phi 4 is developed by Microsoft.

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