Model Comparison
Phi-4-multimodal-instruct vs Qwen2.5 VL 7B InstructWhich is better in 2026?
Qwen2.5 VL 7B Instruct shows notably better performance in the majority of benchmarks.
Verdict: Phi-4-multimodal-instruct vs Qwen2.5 VL 7B Instruct — which is better?
Phi-4-multimodal-instruct (by Microsoft) and Qwen2.5 VL 7B Instruct (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-4-multimodal-instruct outperforms in 2 benchmarks (MMBench, MMMU-Pro), while Qwen2.5 VL 7B Instruct is better at 6 benchmarks (ChartQA, DocVQA, InfoVQA, MMMU, OCRBench, TextVQA). Qwen2.5 VL 7B Instruct shows notably better performance in the majority of benchmarks.
Choose Phi-4-multimodal-instruct if…
- you want the most recent training data — it shipped Feb 2025
Choose Qwen2.5 VL 7B Instruct if…
- you want the strongest raw capability — it leads on 6 of 8 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
Phi-4-multimodal-instruct outperforms in 2 benchmarks (MMBench, MMMU-Pro), while Qwen2.5 VL 7B Instruct is better at 6 benchmarks (ChartQA, DocVQA, InfoVQA, MMMU, OCRBench, TextVQA).
Qwen2.5 VL 7B Instruct shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen2.5 VL 7B Instruct has 2.7B more parameters than Phi-4-multimodal-instruct, making it 48.0% larger.
Context Window
Maximum input and output token capacity
Only Phi-4-multimodal-instruct specifies input context (128,000 tokens). Only Phi-4-multimodal-instruct specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both Phi-4-multimodal-instruct and Qwen2.5 VL 7B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Phi-4-multimodal-instruct
Qwen2.5 VL 7B Instruct
License
Usage and distribution terms
Phi-4-multimodal-instruct is licensed under MIT, while Qwen2.5 VL 7B 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-4-multimodal-instruct was released on 2025-02-01, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.
Phi-4-multimodal-instruct is 0 month newer than Qwen2.5 VL 7B Instruct.
Feb 1, 2025
1.5 years ago
6d newerJan 26, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 VL 7B Instruct's cutoff date is not specified.
We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen2.5 VL 7B Instruct's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Qwen2.5 VL 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Phi-4-multimodal-instruct and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Phi-4-multimodal-instruct vs Qwen2.5 VL 7B Instruct.