Phi-3.5-MoE-instruct vs QvQ-72B-Preview
QvQ-72B-Preview leads the LLM Stats Score 8.0 to 1.9.
Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
QvQ-72B-Preview leads the overall LLM Stats Score 8.0 to 1.9, ranking #271 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Phi-3.5-MoE-instruct
- you are already invested in the Microsoft ecosystem
Choose QvQ-72B-Preview
- overall performance matters — it scores 8.0 and ranks #271 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Dec 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for Phi-3.5-MoE-instruct · 4 for QvQ-72B-Preview
Phi-3.5-MoE-instruct and QvQ-72B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
QvQ-72B-Preview has 13.4B more parameters than Phi-3.5-MoE-instruct, making it 22.3% larger.
Input capabilities
Documented input modalities across available providers
QvQ-72B-Preview supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.
QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.
Phi-3.5-MoE-instruct
QvQ-72B-Preview
License
Usage and distribution terms
Phi-3.5-MoE-instruct is licensed under MIT, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen
Open weights
Release Timeline
When each model was launched
Phi-3.5-MoE-instruct was released on 2024-08-23, while QvQ-72B-Preview was released on 2024-12-25.
QvQ-72B-Preview is 4 months newer than Phi-3.5-MoE-instruct.
Aug 23, 2024
2.0 years ago
Dec 25, 2024
1.7 years ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Phi-3.5-MoE-instruct and QvQ-72B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Phi-3.5-MoE-instruct vs QvQ-72B-Preview.