Gemma 3n E2B vs LongCat-Flash-Chat Comparison
Comparing Gemma 3n E2B and LongCat-Flash-Chat across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E2B outperforms in 0 benchmarks, while LongCat-Flash-Chat is better at 1 benchmark (DROP).
LongCat-Flash-Chat significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
LongCat-Flash-Chat has 552.0B more parameters than Gemma 3n E2B, making it 6900.0% larger.
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).
Input Capabilities
Supported data types and modalities
Gemma 3n E2B supports multimodal inputs, whereas LongCat-Flash-Chat does not.
Gemma 3n E2B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3n E2B
LongCat-Flash-Chat
License
Usage and distribution terms
Gemma 3n E2B is licensed under a proprietary license, while LongCat-Flash-Chat uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemma 3n E2B was released on 2025-06-26, while LongCat-Flash-Chat was released on 2025-08-29.
LongCat-Flash-Chat is 2 months newer than Gemma 3n E2B.
Jun 26, 2025
8 months ago
Aug 29, 2025
6 months ago
2mo newerKnowledge Cutoff
When training data ends
Gemma 3n E2B 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's training data extends to 2024-06-01, but cannot make a direct comparison without LongCat-Flash-Chat's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Gemma 3n E2B
View detailsDetailed Comparison
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