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 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.

Gemini 2.0 Flash-Lite
2025-02-05

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

Gemini 2.0 Flash-Lite

Gemma 3n E2B Instructed LiteRT (Preview)
Average performance across 5 common benchmarks

Gemini 2.0 Flash-Lite

Gemma 3n E2B Instructed LiteRT (Preview)
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

Gemma 3n E2B Instructed LiteRT (Preview)
Gemini 2.0 Flash-Lite
2024-06-01
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite

Gemma 3n E2B Instructed LiteRT (Preview)

Gemini 2.0 Flash-Lite

Gemma 3n E2B Instructed LiteRT (Preview)