Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
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.
QwQ-32B
Alibaba
QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.
Phi-3.5-mini-instruct
Microsoft
2024-08-23
QwQ-32B
Alibaba
2025-03-05
6 months newer
Performance Metrics
Context window and performance specifications
Phi-3.5-mini-instruct
QwQ-32B
Average performance across 1 common benchmarks
Phi-3.5-mini-instruct
QwQ-32B
Performance comparison across key benchmark categories
Phi-3.5-mini-instruct
QwQ-32B
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics
Phi-3.5-mini-instruct
Azure
QwQ-32B
Phi-3.5-mini-instruct
QwQ-32B