Model Comparison

Phi 4 Mini vs Qwen3 VL 32B Instruct

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Phi 4 Mini outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

29.2B diff

Qwen3 VL 32B Instruct has 29.2B more parameters than Phi 4 Mini, making it 759.4% larger.

Microsoft
Phi 4 Mini
3.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
3.8B
Phi 4 Mini
33.0B
Qwen3 VL 32B Instruct

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Instruct supports multimodal inputs, whereas Phi 4 Mini does not.

Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi 4 Mini

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 Mini 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 Mini

MIT

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 Mini 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 Mini.

Phi 4 Mini

Feb 1, 2025

1.3 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

7 months ago

7mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini 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 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3 VL 32B Instruct's cutoff date.

Phi 4 Mini

Jun 2024

Qwen3 VL 32B Instruct

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Outputs Comparison

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Key Takeaways

Microsoft

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (68.9% vs 25.2%)
Higher MMLU score (86.4% vs 67.3%)
Higher MMLU-Pro score (78.6% vs 52.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi 4 Mini
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about Phi 4 Mini vs Qwen3 VL 32B Instruct.

Which is better, Phi 4 Mini or Qwen3 VL 32B Instruct?

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks. Phi 4 Mini 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 Mini compare to Qwen3 VL 32B Instruct in benchmarks?

Phi 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%. 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 main differences between Phi 4 Mini and Qwen3 VL 32B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi 4 Mini and Qwen3 VL 32B Instruct?

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