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

Qwen2.5 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

5 months newer

Performance comparison across key benchmark categories

Microsoft

Phi-3.5-MoE-instruct

general
60.9%
math
+12.5%
69.0%
Alibaba

Qwen2.5 VL 72B Instruct

general
+8.7%
69.6%
math
56.5%

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi-3.5-MoE-instruct

0 providers
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
Microsoft

Phi-3.5-MoE-instruct

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0