Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 37.1% higher average benchmark score. Gemini 1.5 Flash offers 860.2K more tokens in context window than GLM-4.6. Gemini 1.5 Flash is $1.85 cheaper per million tokens. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 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 Flash
2024-05-01
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
Gemini 1.5 Flash
GLM-4.6
Context window and performance specifications
Average performance across 28 common benchmarks
Gemini 1.5 Flash
GLM-4.6
Gemini 1.5 Flash
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Flash
GLM-4.6
Gemini 1.5 Flash
GLM-4.6
Gemini 1.5 Flash
GLM-4.6
DeepInfra
ZeroEval