Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron 70B Instruct leads with 31.0% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Overall, Llama 3.1 Nemotron 70B Instruct is the stronger choice for coding tasks.
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.
NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). Released in 2024, it represents NVIDIA's latest advancement in AI technology.
10 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
GPT-5 nano
OpenAI
2025-08-07
Context window and performance specifications
Average performance across 16 common benchmarks
GPT-5 nano
Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
Llama 3.1 Nemotron 70B Instruct
GPT-5 nano
Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct