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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemma 3n E4B

Google

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.

Moonshot AI

Kimi K2-Instruct-0905

Moonshot AI

Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). 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.

Google

Gemma 3n E4B

Google

2025-06-26

Moonshot AI

Kimi K2-Instruct-0905

Moonshot AI

2025-09-05

2 months newer

Performance comparison across key benchmark categories

Google

Gemma 3n E4B

reasoning
+13.3%
73.4%
general
59.6%
Moonshot AI

Kimi K2-Instruct-0905

reasoning
60.1%
general
+10.2%
69.9%
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

Google

Gemma 3n E4B

0 providers
Moonshot AI

Kimi K2-Instruct-0905

0 providers
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0
Moonshot AI

Kimi K2-Instruct-0905

Avg Score:0.0%
Providers:0