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.
GLM-4.5-Air
Zhipu AI
GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.

Gemini 2.5 Flash-Lite
2025-06-17
GLM-4.5-Air
Zhipu AI
2025-07-28
1 month newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite
GLM-4.5-Air
Average performance across 3 common benchmarks

Gemini 2.5 Flash-Lite
GLM-4.5-Air
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite
GLM-4.5-Air
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite
GLM-4.5-Air

Gemini 2.5 Flash-Lite
GLM-4.5-Air