Phi-3.5-MoE-instruct vs Qwen3.8-Flash-Next
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Phi-3.5-MoE-instruct outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (GPQA). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Phi-3.5-MoE-instruct
- you are already invested in the Microsoft ecosystem
Choose Qwen3.8-Flash-Next
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Phi-3.5-MoE-instruct outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (GPQA).
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
Qwen3.8-Flash-Next has 65.0B more parameters than Phi-3.5-MoE-instruct, making it 108.3% larger.
Input Capabilities
Supported data types and modalities
Qwen3.8-Flash-Next supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.
Qwen3.8-Flash-Next can handle both text and other forms of data like images, making it suitable for multimodal applications.
Phi-3.5-MoE-instruct
Qwen3.8-Flash-Next
License
Usage and distribution terms
Phi-3.5-MoE-instruct is licensed under MIT, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen Community License 1.0
Open weights
Release Timeline
When each model was launched
Phi-3.5-MoE-instruct was released on 2024-08-23, while Qwen3.8-Flash-Next was released on 2026-08-26.
Qwen3.8-Flash-Next is 24 months newer than Phi-3.5-MoE-instruct.
Aug 23, 2024
2.0 years ago
Aug 26, 2026
0 days ago
2.0yr 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 Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.
FAQ
Common questions about Phi-3.5-MoE-instruct vs Qwen3.8-Flash-Next.