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Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 29.2% higher average benchmark score. GLM-4.5 offers 65.5K more tokens in context window than GLM-4.6. GLM-4.5 is $0.60 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Overall, GLM-4.5 is the stronger choice for coding tasks.
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.
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.
2 months newer
GLM-4.5
Zhipu AI
2025-07-28
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.5
GLM-4.6
Context window and performance specifications
Average performance across 16 common benchmarks
GLM-4.5
GLM-4.6
Available providers and their performance metrics
GLM-4.5
DeepInfra
Novita
ZeroEval
GLM-4.6
GLM-4.5
GLM-4.6
GLM-4.5
GLM-4.6
DeepInfra
ZeroEval