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-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K 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 Microsoft's latest advancement in AI technology.
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
6 months newer
Performance Metrics
Context window and performance specifications
Llama-3.3 Nemotron Super 49B v1
Phi-3.5-mini-instruct
Average performance across 3 common benchmarks
Llama-3.3 Nemotron Super 49B v1
Phi-3.5-mini-instruct
Performance comparison across key benchmark categories
Llama-3.3 Nemotron Super 49B v1
Phi-3.5-mini-instruct
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
Llama-3.3 Nemotron Super 49B v1
Phi-3.5-mini-instruct
Azure
Llama-3.3 Nemotron Super 49B v1
Phi-3.5-mini-instruct