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Gemma 3n E4B vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 12.2% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Kimi K2 0905 is available on 2 providers. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
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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 K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
2 months newer
Gemma 3n E4B
2025-06-26
Kimi K2 0905
Moonshot AI
2025-09-05
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Gemma 3n E4B
Average Score:41.8%(+12.2%)
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Kimi K2 0905
Average Score:29.7%
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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 K2 0905
2 providers
Novita
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Gemma 3n E4B
Avg Score:41.8%(+12.2%)
Providers:0
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Kimi K2 0905
Avg Score:29.7%
Providers:2