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
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.

Gemini 2.0 Flash-Lite
2025-02-05

Gemma 3n E2B
2025-06-26
4 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite

Gemma 3n E2B
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite

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

Gemini 2.0 Flash-Lite

Gemma 3n E2B

Gemini 2.0 Flash-Lite

Gemma 3n E2B