Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Phi-3.5-MoE-instruct
Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. 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-MoE-instruct
Microsoft
2024-08-23

QwQ-32B-Preview
Alibaba
2024-11-28
3 months newer
Performance Metrics
Context window and performance specifications

Phi-3.5-MoE-instruct

QwQ-32B-Preview
Average performance across 1 common benchmarks

Phi-3.5-MoE-instruct

QwQ-32B-Preview
Performance comparison across key benchmark categories

Phi-3.5-MoE-instruct

QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-MoE-instruct

QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks

Phi-3.5-MoE-instruct

QwQ-32B-Preview