Model Comparison

Phi 4 Reasoning 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

4 benchmarks

Phi 4 Reasoning outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 4 benchmarks (AIME 2025, GPQA, IFEval, MMLU-Pro).

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

19.0B diff

Qwen3 VL 32B Instruct has 19.0B more parameters than Phi 4 Reasoning, making it 135.7% larger.

Phi 4 Reasoning

14.0Bparameters

Qwen3 VL 32B Instruct

33.0Bparameters

14.0B

Phi 4 Reasoning

33.0B

Qwen3 VL 32B Instruct

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Instruct supports multimodal inputs, whereas Phi 4 Reasoning 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 Reasoning

Text

Images

Audio

Video

Qwen3 VL 32B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Phi 4 Reasoning 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 Reasoning

MIT

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 Reasoning was released on 2025-04-30, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 5 months newer than Phi 4 Reasoning.

Phi 4 Reasoning

Apr 30, 2025

1.1 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

8 months ago

4mo newer

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Qwen3 VL 32B Instruct's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without Qwen3 VL 32B Instruct's cutoff date.

Phi 4 Reasoning

Mar 2025

Qwen3 VL 32B Instruct

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Outputs Comparison

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Key Takeaways

Phi 4 Reasoning

View details

Microsoft

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

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Higher AIME 2025 score (66.2% vs 62.9%)

Higher GPQA score (68.9% vs 65.8%)

Higher IFEval score (84.7% vs 83.4%)

Higher MMLU-Pro score (78.6% vs 74.3%)

Detailed Comparison

AI Model Comparison Table
Feature	Phi 4 Reasoning	Qwen3 VL 32B Instruct

FAQ

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

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

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

Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%. 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 Reasoning 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 Reasoning and Qwen3 VL 32B Instruct?

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