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

Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Gemini 2.0 Flash-Lite
2025-02-05

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
3 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite

Gemma 3n E4B Instructed LiteRT Preview
Average performance across 5 common benchmarks

Gemini 2.0 Flash-Lite

Gemma 3n E4B Instructed LiteRT Preview
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

Gemma 3n E4B Instructed LiteRT Preview
Gemini 2.0 Flash-Lite
2024-06-01
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

Gemma 3n E4B Instructed LiteRT Preview

Gemini 2.0 Flash-Lite

Gemma 3n E4B Instructed LiteRT Preview