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

Qwen2.5 VL 7B Instruct

Alibaba

Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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 2025, it represents Alibaba's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

2024-10-01

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

3 months newer

Performance comparison across key benchmark categories

NVIDIA

Llama 3.1 Nemotron 70B Instruct

math
+40.0%
86.7%
general
64.1%
roleplay
9.0%
Alibaba

Qwen2.5 VL 7B Instruct

math
46.6%
general
+3.6%
67.7%
roleplay
+54.6%
63.6%
Knowledge Cutoff
Training data recency comparison

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

Qwen2.5 VL 7B Instruct

0 providers
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0