Model Comparison

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

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.

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.

QwQ-32B

Alibaba

2025-03-05

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

13 days newer

Average performance across 3 common benchmarks

Llama 3.1 Nemotron Nano 8B V1

Average Score:76.3%

QwQ-32B

+3.6%

Average Score:79.9%

Performance comparison across key benchmark categories

Llama 3.1 Nemotron Nano 8B V1

math

+4.8%

95.4%

code

+8.3%

82.0%

roleplay

+7.9%

81.0%

general

54.9%

QwQ-32B

math

90.6%

code

73.6%

roleplay

73.1%

general

+15.4%

70.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Nano 8B V1

2023-12-31

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.1 Nemotron Nano 8B V1

0 providers

QwQ-32B

0 providers

Llama 3.1 Nemotron Nano 8B V1

Avg Score:76.3%

Providers:0

QwQ-32B

+3.6%

Avg Score:79.9%

Providers:0