Phi-4-multimodal-instruct vs Qwen3.5-9B Comparison
Comparing Phi-4-multimodal-instruct and Qwen3.5-9B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Phi-4-multimodal-instruct and Qwen3.5-9B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3.5-9B has 3.4B more parameters than Phi-4-multimodal-instruct, making it 60.7% 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 Qwen3.5-9B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Phi-4-multimodal-instruct
Qwen3.5-9B
License
Usage and distribution terms
Phi-4-multimodal-instruct is licensed under MIT, while Qwen3.5-9B 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 Qwen3.5-9B was released on 2026-03-02.
Qwen3.5-9B is 13 months newer than Phi-4-multimodal-instruct.
Feb 1, 2025
1.1 years ago
Mar 2, 2026
2 weeks ago
1.1yr newerKnowledge Cutoff
When training data ends
Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Qwen3.5-9B'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 Qwen3.5-9B's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Qwen3.5-9B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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