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-Omni-7B
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
GLM-4.5
Zhipu AI
2025-07-28
4 months newer
Performance Metrics
Context window and performance specifications
GLM-4.5
Qwen2.5-Omni-7B
Average performance across 2 common benchmarks
GLM-4.5
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
GLM-4.5
Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra
Qwen2.5-Omni-7B
GLM-4.5
Qwen2.5-Omni-7B