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Gemma 3n E4B vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 1.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
5 months newer
Kimi-k1.5
Moonshot AI
2025-01-20
Gemma 3n E4B
2025-06-26
Average performance across 20 common benchmarks
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Gemma 3n E4B
Average Score:35.5%
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Kimi-k1.5
Average Score:36.8%(+1.2%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E4B
0 providers
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Kimi-k1.5
0 providers
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Gemma 3n E4B
Avg Score:35.5%
Providers:0
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Kimi-k1.5
Avg Score:36.8%(+1.2%)
Providers:0