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

Gemma 3n E2B
Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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-k1.5
Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). The model shows particular specialization in math tasks with an average performance of 85.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Kimi-k1.5
Moonshot AI
2025-01-20

Gemma 3n E2B
2025-06-26
5 months newer
Performance comparison across key benchmark categories

Gemma 3n E2B

Kimi-k1.5
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B

Kimi-k1.5

Gemma 3n E2B

Kimi-k1.5