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.
Mistral Small 3.2 24B Instruct
Mistral AI
Mistral Small 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.6% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). The model shows particular specialization in code tasks with an average performance of 85.6%. 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 Mistral AI's latest advancement in AI technology.
Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
GLM-4.5
Zhipu AI
2025-07-28
1 month newer
Performance Metrics
Context window and performance specifications
GLM-4.5
Mistral Small 3.2 24B Instruct
Average performance across 2 common benchmarks
GLM-4.5
Mistral Small 3.2 24B Instruct
Performance comparison across key benchmark categories
GLM-4.5
Mistral Small 3.2 24B Instruct
Mistral Small 3.2 24B Instruct
2023-10-01
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra
Mistral Small 3.2 24B Instruct
GLM-4.5
Mistral Small 3.2 24B Instruct