Model Comparison

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

Llama-3.3 Nemotron Super 49B v1

NVIDIA

Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). 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-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

13 days newer

Average performance across 2 common benchmarks

Llama-3.3 Nemotron Super 49B v1

+3.7%

Average Score:81.6%

QwQ-32B

Average Score:77.9%

Performance comparison across key benchmark categories

Llama-3.3 Nemotron Super 49B v1

math

+6.0%

96.6%

roleplay

+18.6%

91.7%

code

+17.7%

91.3%

general

+1.4%

71.8%

QwQ-32B

math

90.6%

roleplay

73.1%

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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1

0 providers

QwQ-32B

0 providers

Llama-3.3 Nemotron Super 49B v1

+3.7%

Avg Score:81.6%

Providers:0

QwQ-32B

Avg Score:77.9%

Providers:0