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-Preview
Alibaba
QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.
Phi-3.5-mini-instruct
Microsoft
2024-08-23
QwQ-32B-Preview
Alibaba
2024-11-28
3 months newer
Pricing Comparison
Cost per million tokens (USD)
Phi-3.5-mini-instruct
QwQ-32B-Preview
Performance Metrics
Context window and performance specifications
Phi-3.5-mini-instruct
QwQ-32B-Preview
Average performance across 1 common benchmarks
Phi-3.5-mini-instruct
QwQ-32B-Preview
Performance comparison across key benchmark categories
Phi-3.5-mini-instruct
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics
Phi-3.5-mini-instruct
Azure
QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks
Phi-3.5-mini-instruct
QwQ-32B-Preview