Model Comparison

Gemini 2.5 Flash-Lite vs Gemma 3n E2B Instructed

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 2.5 Flash-Lite outperforms in 4 benchmarks (AIME 2025, Global-MMLU-Lite, GPQA, LiveCodeBench), while Gemma 3n E2B Instructed is better at 0 benchmarks.

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Flash-Lite and Gemma 3n E2B Instructed support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

Gemma 3n E2B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Gemma 3n E2B Instructed uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Gemma 3n E2B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while Gemma 3n E2B Instructed was released on 2025-06-26.

Gemma 3n E2B Instructed is 0 month newer than Gemini 2.5 Flash-Lite.

Gemini 2.5 Flash-Lite

Jun 17, 2025

11 months ago

Gemma 3n E2B Instructed

Jun 26, 2025

10 months ago

1w newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, while Gemma 3n E2B Instructed has a cutoff of 2024-06-01.

Gemini 2.5 Flash-Lite has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to Gemma 3n E2B Instructed (2024-06-01).

Gemini 2.5 Flash-Lite

Jan 2025

7 mo newer
Gemma 3n E2B Instructed

Jun 2024

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Has open weights
Higher AIME 2025 score (49.8% vs 6.7%)
Higher Global-MMLU-Lite score (81.1% vs 59.0%)
Higher GPQA score (64.6% vs 24.8%)
Higher LiveCodeBench score (33.7% vs 13.2%)
Google

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
Google
Gemma 3n E2B Instructed

FAQ

Common questions about Gemini 2.5 Flash-Lite vs Gemma 3n E2B Instructed.

Which is better, Gemini 2.5 Flash-Lite or Gemma 3n E2B Instructed?

Gemini 2.5 Flash-Lite significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is made by Google and Gemma 3n E2B Instructed is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Flash-Lite compare to Gemma 3n E2B Instructed in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%.

What are the context window sizes for Gemini 2.5 Flash-Lite and Gemma 3n E2B Instructed?

Gemini 2.5 Flash-Lite supports 1.0M tokens and Gemma 3n E2B Instructed supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Flash-Lite and Gemma 3n E2B Instructed?

Key differences include licensing (Creative Commons Attribution 4.0 License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.