Model Comparison

Gemini 2.0 Flash-Lite vs Gemma 3n E2B Instructed LiteRT (Preview)

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks.

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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 LiteRT (Preview) is better at 0 benchmarks.

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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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 LiteRT (Preview)
Input- tokens
Output- tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash-Lite and Gemma 3n E2B Instructed LiteRT (Preview) 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 LiteRT (Preview)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash-Lite is licensed under a proprietary license, while Gemma 3n E2B Instructed LiteRT (Preview) uses Gemma.

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

Gemini 2.0 Flash-Lite

Proprietary

Closed source

Gemma 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20.

Gemma 3n E2B Instructed LiteRT (Preview) is 3 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.2 years ago

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

11 months ago

3mo 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 LiteRT (Preview)

Jun 2024

Outputs Comparison

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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
Has open weights

Detailed Comparison

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

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Gemma 3n E2B Instructed LiteRT (Preview)

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite is made by Google and Gemma 3n E2B Instructed LiteRT (Preview) is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%.
Gemini 2.0 Flash-Lite supports 1.0M tokens and Gemma 3n E2B Instructed LiteRT (Preview) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.