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Gemma 3n E2B Instructed LiteRT (Preview) vs Phi-3.5-mini-instruct

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

Google · Microsoft · Updated for 2026

Which is better?

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 3 benchmarks (HellaSwag, HumanEval, MGSM), while Phi-3.5-mini-instruct is better at 10 benchmarks (ARC-C, BIG-Bench Hard, BoolQ, GPQA, MBPP, MMLU, MMLU-Pro, PIQA, Social IQa, Winogrande). Phi-3.5-mini-instruct significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 3n E2B Instructed LiteRT (Preview)

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

Choose Phi-3.5-mini-instruct

  • you want the strongest raw capability — it leads on 10 of 13 shared benchmarks

At a glance

The differences that matter most.

Gemma 3n E2B Instructed LiteRT (Preview)
Google
Phi-3.5-mini-instruct
Microsoft
Benchmark wins
3 of 13
10 of 13
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
—
128,000
Released
May 2025
Aug 2024
License
Gemma
MIT

Performance Benchmarks

Comparative analysis across standard metrics

13 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 3 benchmarks (HellaSwag, HumanEval, MGSM), while Phi-3.5-mini-instruct is better at 10 benchmarks (ARC-C, BIG-Bench Hard, BoolQ, GPQA, MBPP, MMLU, MMLU-Pro, PIQA, Social IQa, Winogrande).

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

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1.9B diff

Phi-3.5-mini-instruct 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-3.5-mini-instruct
3.8Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
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 Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas Phi-3.5-mini-instruct 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-3.5-mini-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

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

Gemma

Open weights

Phi-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Phi-3.5-mini-instruct was released on 2024-08-23.

Gemma 3n E2B Instructed LiteRT (Preview) is 9 months newer than Phi-3.5-mini-instruct.

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.3 years ago

9mo newer
Phi-3.5-mini-instruct

Aug 23, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) 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 Instructed LiteRT (Preview)'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 Instructed LiteRT (Preview)

Jun 2024

Phi-3.5-mini-instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed LiteRT (Preview) and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed LiteRT (Preview)
✓ Preferred
Phi-3.5-mini-instruct
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Phi-3.5-mini-instruct.

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Phi-3.5-mini-instruct?

Phi-3.5-mini-instruct significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) 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.

How does Gemma 3n E2B Instructed LiteRT (Preview) compare to Phi-3.5-mini-instruct 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-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.

What are the context window sizes for Gemma 3n E2B Instructed LiteRT (Preview) and Phi-3.5-mini-instruct?

Gemma 3n E2B Instructed LiteRT (Preview) 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.

What are the main differences between Gemma 3n E2B Instructed LiteRT (Preview) and Phi-3.5-mini-instruct?

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-3.5-mini-instruct?

Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and Phi-3.5-mini-instruct is developed by Microsoft.

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