Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GLM-4.5
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 1 API provider. 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.
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. 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.
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GLM-4.5
Zhipu AI
2025-07-28
10 months newer
Pricing Comparison
Cost per million tokens (USD)
GLM-4.5
Qwen2.5 7B Instruct
Performance Metrics
Context window and performance specifications
GLM-4.5
Qwen2.5 7B Instruct
Average performance across 3 common benchmarks
GLM-4.5
Qwen2.5 7B Instruct
Performance comparison across key benchmark categories
GLM-4.5
Qwen2.5 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra
Qwen2.5 7B Instruct
Together
GLM-4.5
Qwen2.5 7B Instruct