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.
Llama 3.2 11B Instruct
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.2 11B Instruct
Meta
2024-09-25
GLM-4.5
Zhipu AI
2025-07-28
10 months newer
Pricing Comparison
Cost per million tokens (USD)
GLM-4.5
Llama 3.2 11B Instruct
Performance Metrics
Context window and performance specifications
GLM-4.5
Llama 3.2 11B Instruct
Average performance across 1 common benchmarks
GLM-4.5
Llama 3.2 11B Instruct
Performance comparison across key benchmark categories
GLM-4.5
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra
Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock
GLM-4.5
Llama 3.2 11B Instruct