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

Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 Pro
2025-05-20
GLM-4.5-Air
Zhipu AI
2025-07-28
2 months newer
Performance Metrics
Context window and performance specifications

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

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

Gemini 2.5 Pro
GLM-4.5-Air
Gemini 2.5 Pro
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro
ZeroEval
GLM-4.5-Air

Gemini 2.5 Pro
GLM-4.5-Air