Model Comparison

Phi-4-multimodal-instruct vs Qwen3 VL 32B InstructWhich is better in 2026?

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Verdict: Phi-4-multimodal-instruct vs Qwen3 VL 32B Instruct — which is better?

Phi-4-multimodal-instruct (by Microsoft) and Qwen3 VL 32B 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 0 benchmarks, while Qwen3 VL 32B Instruct is better at 4 benchmarks (AI2D, BLINK, MMMU-Pro, OCRBench). Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Choose Phi-4-multimodal-instruct if…

  • you want predictable pricing at $0.05/M input and $0.10/M output

Choose Qwen3 VL 32B Instruct if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Phi-4-multimodal-instruct outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 4 benchmarks (AI2D, BLINK, MMMU-Pro, OCRBench).

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

27.4B diff

Qwen3 VL 32B Instruct has 27.4B more parameters than Phi-4-multimodal-instruct, making it 489.3% larger.

Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
5.6B
Phi-4-multimodal-instruct
33.0B
Qwen3 VL 32B Instruct

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 VL 32B Instruct
Input- tokens
Output- tokens
Wed Jul 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Phi-4-multimodal-instruct and Qwen3 VL 32B Instruct 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 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-4-multimodal-instruct is licensed under MIT, while Qwen3 VL 32B Instruct 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 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-4-multimodal-instruct was released on 2025-02-01, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 8 months newer than Phi-4-multimodal-instruct.

Phi-4-multimodal-instruct

Feb 1, 2025

1.4 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

9 months ago

7mo newer

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Qwen3 VL 32B 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 Qwen3 VL 32B Instruct's cutoff date.

Phi-4-multimodal-instruct

Jun 2024

Qwen3 VL 32B Instruct

—

Outputs Comparison

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Key Takeaways

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

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Higher AI2D score (89.5% vs 82.3%)
Higher BLINK score (67.3% vs 61.3%)
Higher MMMU-Pro score (65.3% vs 38.5%)
Higher OCRBench score (89.5% vs 84.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Phi-4-multimodal-instruct and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Phi-4-multimodal-instruct
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
Microsoft
Phi-4-multimodal-instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about Phi-4-multimodal-instruct vs Qwen3 VL 32B Instruct.

Which is better, Phi-4-multimodal-instruct or Qwen3 VL 32B Instruct?

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks. Phi-4-multimodal-instruct is made by Microsoft and Qwen3 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Phi-4-multimodal-instruct compare to Qwen3 VL 32B Instruct in benchmarks?

Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Phi-4-multimodal-instruct and Qwen3 VL 32B Instruct?

Phi-4-multimodal-instruct supports 128K tokens and Qwen3 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi-4-multimodal-instruct and Qwen3 VL 32B Instruct?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-4-multimodal-instruct and Qwen3 VL 32B Instruct?

Phi-4-multimodal-instruct is developed by Microsoft and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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