Model Comparison

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

Microsoft

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.

Alibaba

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.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

Alibaba

QwQ-32B

Alibaba

2025-03-05

6 months newer

Average performance across 1 common benchmarks

Microsoft

Phi-3.5-MoE-instruct

Average Score:36.8%
Alibaba

QwQ-32B

+28.4%
Average Score:65.2%

Performance comparison across key benchmark categories

Microsoft

Phi-3.5-MoE-instruct

math
69.0%
code
+2.1%
75.8%
general
60.9%
Alibaba

QwQ-32B

math
+21.6%
90.6%
code
73.6%
general
+9.4%
70.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi-3.5-MoE-instruct

0 providers
Alibaba

QwQ-32B

0 providers
Microsoft

Phi-3.5-MoE-instruct

Avg Score:36.8%
Providers:0
Alibaba

QwQ-32B

+28.4%
Avg Score:65.2%
Providers:0