Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 42.8% higher average benchmark score. Gemini 1.5 Pro offers 1.9M more tokens in context window than GLM-4.6. GLM-4.6 is $9.90 cheaper per million tokens. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, 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.
1 year newer
Gemini 1.5 Pro
2024-05-01
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
Gemini 1.5 Pro
GLM-4.6
Context window and performance specifications
Average performance across 29 common benchmarks
Gemini 1.5 Pro
GLM-4.6
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
GLM-4.6
Gemini 1.5 Pro
GLM-4.6
Gemini 1.5 Pro
GLM-4.6
DeepInfra
ZeroEval