Model Comparison

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

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, 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 3.1 Nemotron 70B Instruct

NVIDIA

2024-10-01

1 month newer

Performance comparison across key benchmark categories

NVIDIA

Llama 3.1 Nemotron 70B Instruct

math
+16.2%
86.7%
general
64.1%
Alibaba

Qwen2-VL-72B-Instruct

math
70.5%
general
+18.1%
82.2%
Knowledge Cutoff
Training data recency comparison

Qwen2-VL-72B-Instruct

2023-06-30

Llama 3.1 Nemotron 70B Instruct

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

NVIDIA

Llama 3.1 Nemotron 70B Instruct

0 providers
Alibaba

Qwen2-VL-72B-Instruct

0 providers
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Avg Score:0.0%
Providers:0
Alibaba

Qwen2-VL-72B-Instruct

Avg Score:0.0%
Providers:0