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 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 Ultra 253B v1

NVIDIA

2025-04-07

8 months newer

Average performance across 2 common benchmarks

Llama 3.1 Nemotron Ultra 253B v1

+45.2%

Average Score:71.2%

Qwen2 7B Instruct

Average Score:25.9%

Performance comparison across key benchmark categories

Llama 3.1 Nemotron Ultra 253B v1

math

+31.0%

97.0%

code

+13.6%

77.9%

general

+24.8%

74.2%

Qwen2 7B Instruct

math

66.0%

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 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 7B Instruct

0 providers

Llama 3.1 Nemotron Ultra 253B v1

+45.2%

Avg Score:71.2%

Providers:0

Qwen2 7B Instruct

Avg Score:25.9%

Providers:0