Model Comparison

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

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Qwen2.5 14B Instruct

Alibaba

Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. 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 14B Instruct

Alibaba

2024-09-19

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

2025-04-07

6 months newer

Average performance across 1 common benchmarks

Llama 3.1 Nemotron Ultra 253B v1

+30.5%

Average Score:76.0%

Qwen2.5 14B Instruct

Average Score:45.5%

Performance comparison across key benchmark categories

Llama 3.1 Nemotron Ultra 253B v1

math

+9.6%

97.0%

code

+7.9%

77.9%

general

+6.8%

74.2%

Qwen2.5 14B Instruct

math

87.4%

code

70.0%

general

67.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Ultra 253B v1

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.1 Nemotron Ultra 253B v1

0 providers

Qwen2.5 14B Instruct

0 providers

Llama 3.1 Nemotron Ultra 253B v1

+30.5%

Avg Score:76.0%

Providers:0

Qwen2.5 14B Instruct

Avg Score:45.5%

Providers:0