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

Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Kimi K2 Instruct
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 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Kimi K2 Instruct
Moonshot AI
2025-01-01

Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
4 months newer
Performance Metrics
Context window and performance specifications

Gemma 3n E2B Instructed LiteRT (Preview)

Kimi K2 Instruct
Average performance across 5 common benchmarks

Gemma 3n E2B Instructed LiteRT (Preview)

Kimi K2 Instruct
Performance comparison across key benchmark categories

Gemma 3n E2B Instructed LiteRT (Preview)

Kimi K2 Instruct
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B Instructed LiteRT (Preview)

Kimi K2 Instruct
Novita

Gemma 3n E2B Instructed LiteRT (Preview)

Kimi K2 Instruct