Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 11.9% higher average benchmark score. Claude Sonnet 4.5 offers 1.9K more tokens in context window than GLM-4.5. GLM-4.5 is $16.00 cheaper per million tokens. Claude Sonnet 4.5 supports multimodal inputs. Overall, GLM-4.5 is the stronger choice for coding tasks.
Anthropic
Claude Sonnet 4.5 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 75.8% across 9 benchmarks. It excels particularly in MMMLU (89.1%), AIME 2025 (87.0%), TAU-bench Retail (86.2%). It supports a 264K 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. Released in 2025, it represents Anthropic'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
GLM-4.5
Zhipu AI
2025-07-28
Claude Sonnet 4.5
Anthropic
2025-09-29
Cost per million tokens (USD)
Claude Sonnet 4.5
GLM-4.5
Context window and performance specifications
Average performance across 18 common benchmarks
Claude Sonnet 4.5
GLM-4.5
Claude Sonnet 4.5
2025-01-31
Available providers and their performance metrics
Claude Sonnet 4.5
Anthropic
ZeroEval
GLM-4.5
Claude Sonnet 4.5
GLM-4.5
Claude Sonnet 4.5
GLM-4.5
DeepInfra
Novita
ZeroEval