Model Comparison

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

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). 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 Ultra 253B v1

NVIDIA

2025-04-07

1 month newer

Average performance across 4 common benchmarks

Llama 3.1 Nemotron Ultra 253B v1

+6.4%

Average Score:82.2%

QwQ-32B

Average Score:75.8%

Performance comparison across key benchmark categories

Llama 3.1 Nemotron Ultra 253B v1

math

+6.4%

97.0%

code

+4.2%

77.9%

general

+3.8%

74.2%

QwQ-32B

math

90.6%

code

73.6%

general

70.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Ultra 253B v1

2023-12-01

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 Ultra 253B v1

0 providers

QwQ-32B

0 providers

Llama 3.1 Nemotron Ultra 253B v1

+6.4%

Avg Score:82.2%

Providers:0

QwQ-32B

Avg Score:75.8%

Providers:0