Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GPT-4.1 mini
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 Nano 8B V1
NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
GPT-4.1 mini
OpenAI
2025-04-14
27 days newer
Performance Metrics
Context window and performance specifications
GPT-4.1 mini
Llama 3.1 Nemotron Nano 8B V1
Average performance across 3 common benchmarks
GPT-4.1 mini
Llama 3.1 Nemotron Nano 8B V1
Performance comparison across key benchmark categories
GPT-4.1 mini
Llama 3.1 Nemotron Nano 8B V1
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
GPT-4.1 mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics
GPT-4.1 mini
ZeroEval
OpenAI
Llama 3.1 Nemotron Nano 8B V1
GPT-4.1 mini
Llama 3.1 Nemotron Nano 8B V1