Model Comparison

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

Llama-3.3 Nemotron Super 49B v1

NVIDIA

Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). 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-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

6 months newer

Average performance across 2 common benchmarks

Llama-3.3 Nemotron Super 49B v1

+15.2%

Average Score:79.0%

Qwen2.5 14B Instruct

Average Score:63.7%

Performance comparison across key benchmark categories

Llama-3.3 Nemotron Super 49B v1

math

+9.2%

96.6%

code

+21.3%

91.3%

general

+4.4%

71.8%

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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1

0 providers

Qwen2.5 14B Instruct

0 providers

Llama-3.3 Nemotron Super 49B v1

+15.2%

Avg Score:79.0%

Providers:0

Qwen2.5 14B Instruct

Avg Score:63.7%

Providers:0