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Gemma 3n E4B vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 37.2% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Overall, Kimi K2 Instruct 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 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
15 days newer
Gemma 3n E4B
2025-06-26
Kimi K2 Instruct
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 49 common benchmarks
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Gemma 3n E4B
Average Score:14.5%
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Kimi K2 Instruct
Average Score:51.7%(+37.2%)
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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 K2 Instruct
1 providers
Novita
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Gemma 3n E4B
Avg Score:14.5%
Providers:0
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Kimi K2 Instruct
Avg Score:51.7%(+37.2%)
Providers:1