Gemma 3n E2B Instructed vs LongCat-Flash-Lite Comparison

Comparing Gemma 3n E2B Instructed and LongCat-Flash-Lite across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

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

LongCat-Flash-Lite significantly outperforms across most benchmarks.

Sun Mar 15 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
Sun Mar 15 2026 • llm-stats.com
Google
Gemma 3n E2B Instructed
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meituan
LongCat-Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
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Model Size

Parameter count comparison

60.5B diff

LongCat-Flash-Lite has 60.5B more parameters than Gemma 3n E2B Instructed, making it 756.3% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
8.0B
Gemma 3n E2B Instructed
68.5B
LongCat-Flash-Lite

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Lite specifies input context (256,000 tokens). Only LongCat-Flash-Lite specifies output context (128,000 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Sun Mar 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas LongCat-Flash-Lite does not.

Gemma 3n E2B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B Instructed

Text
Images
Audio
Video

LongCat-Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while LongCat-Flash-Lite uses MIT.

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

Gemma 3n E2B Instructed

Proprietary

Closed source

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while LongCat-Flash-Lite was released on 2026-02-05.

LongCat-Flash-Lite is 7 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

8 months ago

LongCat-Flash-Lite

Feb 5, 2026

1 months ago

7mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while LongCat-Flash-Lite's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without LongCat-Flash-Lite's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

LongCat-Flash-Lite

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Larger context window (256,000 tokens)
Has open weights
Higher AIME 2025 score (63.2% vs 6.7%)
Higher GPQA score (66.8% vs 24.8%)
Higher MMLU score (85.5% vs 60.1%)
Higher MMLU-Pro score (78.3% vs 40.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed
Meituan
LongCat-Flash-Lite