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 3.1 Nemotron Ultra 253B v1
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). The model shows particular specialization in math tasks with an average performance of 84.7%. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
GLM-4.5
Zhipu AI
2025-07-28
3 months newer
Performance Metrics
Context window and performance specifications
GLM-4.5
Llama 3.1 Nemotron Ultra 253B v1
Average performance across 3 common benchmarks
GLM-4.5
Llama 3.1 Nemotron Ultra 253B v1
Performance comparison across key benchmark categories
GLM-4.5
Llama 3.1 Nemotron Ultra 253B v1
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra
Llama 3.1 Nemotron Ultra 253B v1
GLM-4.5
Llama 3.1 Nemotron Ultra 253B v1