Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.1 Nemotron 70B Instruct
NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, 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 70B Instruct
NVIDIA
2024-10-01
1 month newer
Performance Metrics
Context window and performance specifications
Llama 3.1 Nemotron 70B Instruct
Phi-3.5-mini-instruct
Average performance across 6 common benchmarks
Llama 3.1 Nemotron 70B Instruct
Phi-3.5-mini-instruct
Performance comparison across key benchmark categories
Llama 3.1 Nemotron 70B Instruct
Phi-3.5-mini-instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 Nemotron 70B Instruct
Phi-3.5-mini-instruct
Azure
Llama 3.1 Nemotron 70B Instruct
Phi-3.5-mini-instruct