Phi-3.5-MoE-instruct vs Qwen3.8 Max
Qwen3.8 Max leads the LLM Stats Score 51.9 to 1.9.
Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Max leads the overall LLM Stats Score 51.9 to 1.9, ranking #11 overall.
In the 1 individual benchmarks reported for both models, Qwen3.8 Max wins 1; this is a narrower head-to-head signal than the composite indexes.
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 Qwen3.8 Max
- overall performance matters — it scores 51.9 and ranks #11 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Aug 2026
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 · 42 for Qwen3.8 Max
Phi-3.5-MoE-instruct outperforms in 0 benchmarks, while Qwen3.8 Max is better at 1 benchmark (GPQA).
Qwen3.8 Max significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3.8 Max has 2340.0B more parameters than Phi-3.5-MoE-instruct, making it 3900.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3.8 Max specifies input context (256,000 tokens). Only Qwen3.8 Max specifies output context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3.8 Max supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.
Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.
Phi-3.5-MoE-instruct
Qwen3.8 Max
License
Usage and distribution terms
Phi-3.5-MoE-instruct is licensed under MIT, while Qwen3.8 Max uses Qwen3.8-Max License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
Phi-3.5-MoE-instruct was released on 2024-08-23, while Qwen3.8 Max was released on 2026-08-02.
Qwen3.8 Max is 24 months newer than Phi-3.5-MoE-instruct.
Aug 23, 2024
2.1 years ago
Aug 2, 2026
1 months ago
1.9yr 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 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Phi-3.5-MoE-instruct vs Qwen3.8 Max.