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-3.3 Nemotron Super 49B v1
NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
GPT-5 nano
OpenAI
2025-08-07
4 months newer
Performance Metrics
Context window and performance specifications
GPT-5 nano
Llama-3.3 Nemotron Super 49B v1
Average performance across 2 common benchmarks
GPT-5 nano
Llama-3.3 Nemotron Super 49B v1
Performance comparison across key benchmark categories
GPT-5 nano
Llama-3.3 Nemotron Super 49B v1
Llama-3.3 Nemotron Super 49B v1
2023-12-31
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics
GPT-5 nano
ZeroEval
OpenAI
Llama-3.3 Nemotron Super 49B v1
GPT-5 nano
Llama-3.3 Nemotron Super 49B v1