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 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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 7B Instruct

Alibaba

2024-07-23

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

7 months newer

Average performance across 3 common benchmarks

Llama 3.1 Nemotron Nano 8B V1

+14.4%

Average Score:73.2%

Qwen2 7B Instruct

Average Score:58.9%

Performance comparison across key benchmark categories

Llama 3.1 Nemotron Nano 8B V1

math

+29.4%

95.4%

roleplay

81.0%

code

+17.7%

82.0%

general

+5.5%

54.9%

Qwen2 7B Instruct

math

66.0%

roleplay

+3.1%

84.1%

code

64.2%

general

49.4%

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 7B Instruct

0 providers

Llama 3.1 Nemotron Nano 8B V1

+14.4%

Avg Score:73.2%

Providers:0

Qwen2 7B Instruct

Avg Score:58.9%

Providers:0