Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 45.7% higher average benchmark score. GLM-4.5 offers 196.6K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $1.65 cheaper per million tokens. 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.
Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
GLM-4.5
QwQ-32B-Preview
Context window and performance specifications
Average performance across 14 common benchmarks
GLM-4.5
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
GLM-4.5
DeepInfra
Novita
ZeroEval
QwQ-32B-Preview
GLM-4.5
QwQ-32B-Preview
GLM-4.5
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together