Model Comparison

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

NVIDIA

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.

Alibaba

QvQ-72B-Preview

Alibaba

QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

NVIDIA

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

2 months newer

Performance comparison across key benchmark categories

NVIDIA

Llama-3.3 Nemotron Super 49B v1

math
+42.9%
96.6%
general
+51.4%
71.8%
Alibaba

QvQ-72B-Preview

math
53.6%
general
20.4%
Knowledge Cutoff
Training data recency comparison

Llama-3.3 Nemotron Super 49B v1

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

NVIDIA

Llama-3.3 Nemotron Super 49B v1

0 providers
Alibaba

QvQ-72B-Preview

0 providers
NVIDIA

Llama-3.3 Nemotron Super 49B v1

Avg Score:0.0%
Providers:0
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0