Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GPT-5 nano
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI'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%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
GPT-5 nano
OpenAI
2025-08-07
4 months newer
Performance Metrics
Context window and performance specifications
GPT-5 nano
Llama 3.1 Nemotron Ultra 253B v1
Average performance across 2 common benchmarks
GPT-5 nano
Llama 3.1 Nemotron Ultra 253B v1
Performance comparison across key benchmark categories
GPT-5 nano
Llama 3.1 Nemotron Ultra 253B v1
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics
GPT-5 nano
ZeroEval
OpenAI
Llama 3.1 Nemotron Ultra 253B v1
GPT-5 nano
Llama 3.1 Nemotron Ultra 253B v1