Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 2.9% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Qwen2.5-Coder 32B Instruct. Qwen2.5-Coder 32B Instruct is $1.82 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. 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.
10 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
GLM-4.5
Qwen2.5-Coder 32B Instruct
Context window and performance specifications
Average performance across 27 common benchmarks
GLM-4.5
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
GLM-4.5
DeepInfra
Novita
ZeroEval
Qwen2.5-Coder 32B Instruct
GLM-4.5
Qwen2.5-Coder 32B Instruct
GLM-4.5
Qwen2.5-Coder 32B Instruct
DeepInfra
Fireworks
Hyperbolic
Lambda