Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 8.1% higher average benchmark score. Gemini 2.5 Pro offers 852.0K more tokens in context window than GLM-4.5. GLM-4.5 is $9.25 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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.
Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. 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.
2 months newer
Gemini 2.5 Pro
2025-05-20
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
Gemini 2.5 Pro
GLM-4.5
Context window and performance specifications
Average performance across 27 common benchmarks
Gemini 2.5 Pro
GLM-4.5
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
GLM-4.5
Gemini 2.5 Pro
GLM-4.5
Gemini 2.5 Pro
GLM-4.5
DeepInfra
Novita
ZeroEval