Model Comparison

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

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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.

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.

Gemma 3n E2B Instructed

Google

2025-06-26

Kimi K2-Instruct-0905

Moonshot AI

2025-09-05

2 months newer

Average performance across 5 common benchmarks

Gemma 3n E2B Instructed

Average Score:29.1%

Kimi K2-Instruct-0905

+40.7%

Average Score:69.8%

Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

general

35.4%

math

29.2%

code

33.2%

Kimi K2-Instruct-0905

general

+34.5%

69.9%

math

+35.9%

65.0%

code

+23.7%

56.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemma 3n E2B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 3n E2B Instructed

0 providers

Kimi K2-Instruct-0905

0 providers

Gemma 3n E2B Instructed

Avg Score:29.1%

Providers:0

Kimi K2-Instruct-0905

+40.7%

Avg Score:69.8%

Providers:0