Model Comparison
Gemma 3n E4B vs Kimi K2 Base
Kimi K2 Base significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E4B outperforms in 0 benchmarks, while Kimi K2 Base is better at 1 benchmark (TriviaQA).
Kimi K2 Base significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Kimi K2 Base has 992.0B more parameters than Gemma 3n E4B, making it 12400.0% larger.
Input Capabilities
Supported data types and modalities
Gemma 3n E4B supports multimodal inputs, whereas Kimi K2 Base does not.
Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3n E4B
Kimi K2 Base
License
Usage and distribution terms
Gemma 3n E4B is licensed under a proprietary license, while Kimi K2 Base 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 E4B was released on 2025-06-26, while Kimi K2 Base was released on 2025-07-11.
Kimi K2 Base is 1 month newer than Gemma 3n E4B.
Jun 26, 2025
10 months ago
Jul 11, 2025
10 months ago
2w newerKnowledge Cutoff
When training data ends
Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while Kimi K2 Base's cutoff date is not specified.
We can confirm Gemma 3n E4B's training data extends to 2024-06-01, but cannot make a direct comparison without Kimi K2 Base's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Gemma 3n E4B
View detailsKimi K2 Base
View detailsMoonshot AI
Detailed Comparison
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FAQ
Common questions about Gemma 3n E4B vs Kimi K2 Base.