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

Qwen2-VL-72B-Instruct

Alibaba

Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2-VL-72B-Instruct

Alibaba

2024-08-29

NVIDIA

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

6 months newer

Performance comparison across key benchmark categories

NVIDIA

Llama-3.3 Nemotron Super 49B v1

math
+26.1%
96.6%
general
71.8%
Alibaba

Qwen2-VL-72B-Instruct

math
70.5%
general
+10.4%
82.2%
Knowledge Cutoff
Training data recency comparison

Qwen2-VL-72B-Instruct

2023-06-30

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

Qwen2-VL-72B-Instruct

0 providers
NVIDIA

Llama-3.3 Nemotron Super 49B v1

Avg Score:0.0%
Providers:0
Alibaba

Qwen2-VL-72B-Instruct

Avg Score:0.0%
Providers:0