Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 11.8% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Qwen3 32B. Qwen3 32B is $1.60 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
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). It supports a 256K 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
GLM-4.5
Qwen3 32B
Context window and performance specifications
Average performance across 21 common benchmarks
GLM-4.5
Qwen3 32B
Available providers and their performance metrics
GLM-4.5
DeepInfra
Novita
ZeroEval
Qwen3 32B
GLM-4.5
Qwen3 32B
GLM-4.5
Qwen3 32B
DeepInfra
Novita
Sambanova