Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT-4.1
OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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 70B Instruct
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%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.

Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01

GPT-4.1
OpenAI
2025-04-14
6 months newer
Performance Metrics
Context window and performance specifications

GPT-4.1

Llama 3.1 Nemotron 70B Instruct
Average performance across 1 common benchmarks

GPT-4.1

Llama 3.1 Nemotron 70B Instruct
Performance comparison across key benchmark categories

GPT-4.1

Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
GPT-4.1
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1
OpenAI

Llama 3.1 Nemotron 70B Instruct

GPT-4.1

Llama 3.1 Nemotron 70B Instruct