Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 34.3% higher average benchmark score. Gemini 2.5 Pro offers 917.5K more tokens in context window than GLM-4.6. GLM-4.6 is $8.65 cheaper per million tokens. 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-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
4 months newer
Gemini 2.5 Pro
2025-05-20
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
Gemini 2.5 Pro
GLM-4.6
Context window and performance specifications
Average performance across 20 common benchmarks
Gemini 2.5 Pro
GLM-4.6
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
GLM-4.6
Gemini 2.5 Pro
GLM-4.6
Gemini 2.5 Pro
GLM-4.6
DeepInfra
ZeroEval