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

Phi 4 Mini
Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.

QwQ-32B-Preview
Alibaba
2024-11-28

Phi 4 Mini
Microsoft
2025-02-01
2 months newer
Performance Metrics
Context window and performance specifications

Phi 4 Mini

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

Phi 4 Mini

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

Phi 4 Mini

QwQ-32B-Preview
Phi 4 Mini
2024-06-01
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini

QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks

Phi 4 Mini

QwQ-32B-Preview