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.

Phi-3.5-MoE-instruct

Microsoft

Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

6 months newer

Average performance across 3 common benchmarks

Llama-3.3 Nemotron Super 49B v1

+30.3%

Average Score:82.1%

Phi-3.5-MoE-instruct

Average Score:51.8%

Performance comparison across key benchmark categories

Llama-3.3 Nemotron Super 49B v1

math

+27.6%

96.6%

code

+15.5%

91.3%

general

+10.8%

71.8%

Phi-3.5-MoE-instruct

math

69.0%

code

75.8%

general

60.9%

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

Phi-3.5-MoE-instruct

0 providers

Llama-3.3 Nemotron Super 49B v1

+30.3%

Avg Score:82.1%

Providers:0

Phi-3.5-MoE-instruct

Avg Score:51.8%

Providers:0