Gemma 3n E2B Instructed LiteRT (Preview) vs LongCat-Flash-Chat Comparison

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while LongCat-Flash-Chat is better at 7 benchmarks (AIME 2025, DROP, GPQA, HumanEval, LiveCodeBench, MMLU, MMLU-Pro).

LongCat-Flash-Chat significantly outperforms across most benchmarks.

Tue Mar 17 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
Tue Mar 17 2026 • llm-stats.com
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meituan
LongCat-Flash-Chat
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

558.1B diff

LongCat-Flash-Chat has 558.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 29219.4% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
Meituan
LongCat-Flash-Chat
560.0Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
560.0B
LongCat-Flash-Chat

Context Window

Maximum input and output token capacity

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

Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas LongCat-Flash-Chat 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

LongCat-Flash-Chat

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, while LongCat-Flash-Chat 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

LongCat-Flash-Chat

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while LongCat-Flash-Chat was released on 2025-08-29.

LongCat-Flash-Chat is 3 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

10 months ago

LongCat-Flash-Chat

Aug 29, 2025

6 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a documented knowledge cutoff of 2024-06-01, while LongCat-Flash-Chat'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 LongCat-Flash-Chat's cutoff date.

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

LongCat-Flash-Chat

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Higher AIME 2025 score (61.3% vs 6.7%)
Higher DROP score (79.1% vs 53.9%)
Higher GPQA score (73.2% vs 24.8%)
Higher HumanEval score (88.4% vs 66.5%)
Higher LiveCodeBench score (48.0% vs 13.2%)
Higher MMLU score (89.7% vs 60.1%)
Higher MMLU-Pro score (82.7% vs 40.5%)

Detailed Comparison