Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 19.4% higher average benchmark score. Claude 3.5 Haiku offers 137.9K more tokens in context window than GLM-4.5. GLM-4.5 is $2.80 cheaper per million tokens. Overall, GLM-4.5 is the stronger choice for coding tasks.
Anthropic
Claude 3.5 Haiku is a language model developed by Anthropic. It achieves strong performance with an average score of 60.8% across 9 benchmarks. It excels particularly in HumanEval (88.1%), MGSM (85.6%), DROP (83.1%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. Released in 2024, 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.
9 months newer
Claude 3.5 Haiku
Anthropic
2024-10-22
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
Claude 3.5 Haiku
GLM-4.5
Context window and performance specifications
Average performance across 18 common benchmarks
Claude 3.5 Haiku
GLM-4.5
Available providers and their performance metrics
Claude 3.5 Haiku
Anthropic
Bedrock
Claude 3.5 Haiku
GLM-4.5
Claude 3.5 Haiku
GLM-4.5
GLM-4.5
DeepInfra
Novita
ZeroEval