Model Comparison

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

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Qwen2.5 32B Instruct

Alibaba

Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 32B Instruct

Alibaba

2024-09-19

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

6 months newer

Average performance across 2 common benchmarks

Llama 3.1 Nemotron Nano 8B V1

+2.6%

Average Score:69.3%

Qwen2.5 32B Instruct

Average Score:66.8%

Performance comparison across key benchmark categories

Llama 3.1 Nemotron Nano 8B V1

math

+5.9%

95.4%

code

+9.0%

82.0%

general

54.9%

Qwen2.5 32B Instruct

math

89.5%

code

73.0%

general

+16.4%

71.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Nano 8B V1

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.1 Nemotron Nano 8B V1

0 providers

Qwen2.5 32B Instruct

0 providers

Llama 3.1 Nemotron Nano 8B V1

+2.6%

Avg Score:69.3%

Providers:0

Qwen2.5 32B Instruct

Avg Score:66.8%

Providers:0