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Gemma 3n E4B Instructed vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 5.1% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). 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 Instructed
2025-06-26
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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Gemma 3n E4B Instructed
Average Score:27.0%
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Kimi K2 Base
Average Score:32.1%(+5.1%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
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 Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Kimi K2 Base
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Gemma 3n E4B Instructed
Avg Score:27.0%
Providers:1
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Kimi K2 Base
Avg Score:32.1%(+5.1%)
Providers:0