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

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.

QwQ-32B
Alibaba
QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

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

QwQ-32B
Alibaba
2025-03-05
5 months newer
Performance comparison across key benchmark categories

Llama 3.1 Nemotron 70B Instruct

QwQ-32B
Llama 3.1 Nemotron 70B Instruct
2023-12-01
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 Nemotron 70B Instruct

QwQ-32B

Llama 3.1 Nemotron 70B Instruct

QwQ-32B