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

Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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.

Gemini Diffusion
Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.

Gemini Diffusion
2025-05-20

Gemini 2.5 Flash-Lite
2025-06-17
28 days newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

Gemini Diffusion
Average performance across 5 common benchmarks

Gemini 2.5 Flash-Lite

Gemini Diffusion
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite

Gemini Diffusion
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

Gemini Diffusion

Gemini 2.5 Flash-Lite

Gemini Diffusion