Model Comparison

Gemini 2.0 Flash-Lite vs Gemma 3n E2B Instructed

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 2.0 Flash-Lite outperforms in 5 benchmarks (Global-MMLU-Lite, GPQA, HiddenMath, LiveCodeBench v5, MMLU-Pro), while Gemma 3n E2B Instructed is better at 0 benchmarks.

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash-Lite specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 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 2.0 Flash-Lite

Text
Images
Audio
Video

Gemma 3n E2B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 2.0 Flash-Lite

Proprietary

Closed source

Gemma 3n E2B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Gemma 3n E2B Instructed was released on 2025-06-26.

Gemma 3n E2B Instructed is 5 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.3 years ago

Gemma 3n E2B Instructed

Jun 26, 2025

10 months ago

4mo newer

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.

Gemini 2.0 Flash-Lite

Jun 2024

Gemma 3n E2B Instructed

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher Global-MMLU-Lite score (78.2% vs 59.0%)
Higher GPQA score (51.5% vs 24.8%)
Higher HiddenMath score (55.3% vs 27.7%)
Higher LiveCodeBench v5 score (28.9% vs 18.6%)
Higher MMLU-Pro score (71.6% vs 40.5%)
Google

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

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash-Lite
Google
Gemma 3n E2B Instructed

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Gemma 3n E2B Instructed.

Which is better, Gemini 2.0 Flash-Lite or Gemma 3n E2B Instructed?

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks. Gemini 2.0 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 2.0 Flash-Lite compare to Gemma 3n E2B Instructed in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. 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 2.0 Flash-Lite and Gemma 3n E2B Instructed?

Gemini 2.0 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.