Model Comparison
Phi-3.5-vision-instruct vs Qwen3 VL 30B A3B ThinkingWhich is better in 2026?
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Verdict: Phi-3.5-vision-instruct vs Qwen3 VL 30B A3B Thinking — which is better?
Phi-3.5-vision-instruct (by Microsoft) and Qwen3 VL 30B A3B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Phi-3.5-vision-instruct outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 1 benchmark (AI2D). Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Choose Phi-3.5-vision-instruct if…
- you are already invested in the Microsoft ecosystem
Choose Qwen3 VL 30B A3B Thinking if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Phi-3.5-vision-instruct outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 1 benchmark (AI2D).
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3 VL 30B A3B Thinking has 26.8B more parameters than Phi-3.5-vision-instruct, making it 638.1% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
Both Phi-3.5-vision-instruct and Qwen3 VL 30B A3B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Phi-3.5-vision-instruct
Qwen3 VL 30B A3B Thinking
License
Usage and distribution terms
Phi-3.5-vision-instruct is licensed under MIT, while Qwen3 VL 30B A3B Thinking 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-vision-instruct was released on 2024-08-23, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.
Qwen3 VL 30B A3B Thinking is 13 months newer than Phi-3.5-vision-instruct.
Aug 23, 2024
1.8 years ago
Sep 22, 2025
8 months ago
1.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Phi-3.5-vision-instruct
View detailsMicrosoft
No standout differentiators in the data we have for this pair.
Qwen3 VL 30B A3B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Phi-3.5-vision-instruct vs Qwen3 VL 30B A3B Thinking.