Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). 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 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
6 months newer
Performance Metrics
Context window and performance specifications
Llama 3.1 Nemotron Nano 8B V1
Phi-3.5-mini-instruct
Average performance across 2 common benchmarks
Llama 3.1 Nemotron Nano 8B V1
Phi-3.5-mini-instruct
Performance comparison across key benchmark categories
Llama 3.1 Nemotron Nano 8B V1
Phi-3.5-mini-instruct
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 Nemotron Nano 8B V1
Phi-3.5-mini-instruct
Azure
Llama 3.1 Nemotron Nano 8B V1
Phi-3.5-mini-instruct