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 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K token context window for handling large documents. The model is available through 1 API provider. 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 7B Instruct
Alibaba
2024-09-19
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
6 months newer
Performance Metrics
Context window and performance specifications
Llama 3.1 Nemotron Ultra 253B v1
Qwen2.5 7B Instruct
Average performance across 3 common benchmarks
Llama 3.1 Nemotron Ultra 253B v1
Qwen2.5 7B Instruct
Performance comparison across key benchmark categories
Llama 3.1 Nemotron Ultra 253B v1
Qwen2.5 7B Instruct
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 Nemotron Ultra 253B v1
Qwen2.5 7B Instruct
Together
Llama 3.1 Nemotron Ultra 253B v1
Qwen2.5 7B Instruct