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

No common benchmarks found

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.

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.5-9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

3.4B diff

Qwen3.5-9B has 3.4B more parameters than Phi-4-multimodal-instruct, making it 60.7% larger.

Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-9B
9.0Bparameters
5.6B
Phi-4-multimodal-instruct
9.0B
Qwen3.5-9B

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).

Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-9B
Input- tokens
Output- tokens
Tue Mar 17 2026 • llm-stats.com

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

Text
Images
Audio
Video

Qwen3.5-9B

Text
Images
Audio
Video

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.

Phi-4-multimodal-instruct

MIT

Open weights

Qwen3.5-9B

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.

Phi-4-multimodal-instruct

Feb 1, 2025

1.1 years ago

Qwen3.5-9B

Mar 2, 2026

2 weeks ago

1.1yr newer

Knowledge 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.

Phi-4-multimodal-instruct

Jun 2024

Qwen3.5-9B

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

Qwen3.5-9B

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi-4-multimodal-instruct
Alibaba Cloud / Qwen Team
Qwen3.5-9B