Phi-3.5-MoE-instruct vs Qwen2.5-Coder 32B Instruct
Phi-3.5-MoE-instruct and Qwen2.5-Coder 32B Instruct are closely matched at 1.9 and 2.0 on the LLM Stats Score.
Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Phi-3.5-MoE-instruct and Qwen2.5-Coder 32B Instruct are closely matched on the overall LLM Stats Score at 1.9 and 2.0.
In the 10 individual benchmarks reported for both models, Phi-3.5-MoE-instruct wins 6; 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 value its reported benchmark strengths — it wins 6 of 10 exact shared results
Choose Qwen2.5-Coder 32B Instruct
- you want the most recent training data — it shipped Sep 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 · 15 for Qwen2.5-Coder 32B Instruct
Phi-3.5-MoE-instruct outperforms in 6 benchmarks (ARC-C, HellaSwag, MATH, MMLU, TruthfulQA, Winogrande), while Qwen2.5-Coder 32B Instruct is better at 4 benchmarks (GSM8k, HumanEval, MBPP, MMLU-Pro).
Phi-3.5-MoE-instruct has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Phi-3.5-MoE-instruct has 28.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 87.5% larger.
Context Window
Maximum input and output token capacity
Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).
License
Usage and distribution terms
Phi-3.5-MoE-instruct is licensed under MIT, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Phi-3.5-MoE-instruct was released on 2024-08-23, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Qwen2.5-Coder 32B Instruct is 1 month newer than Phi-3.5-MoE-instruct.
Aug 23, 2024
2.1 years ago
Sep 19, 2024
2.0 years ago
3w 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 Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Phi-3.5-MoE-instruct vs Qwen2.5-Coder 32B Instruct.