Model Comparison

Phi 4 Mini Reasoning vs Qwen3 VL 32B Thinking

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Phi 4 Mini Reasoning outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 1 benchmark (GPQA).

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Wed Apr 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 29 2026 • llm-stats.com
Microsoft
Phi 4 Mini Reasoning
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

29.2B diff

Qwen3 VL 32B Thinking has 29.2B more parameters than Phi 4 Mini Reasoning, making it 768.4% larger.

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

Input Capabilities

Supported data types and modalities

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

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

Phi 4 Mini Reasoning

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 Mini Reasoning is licensed under MIT, while Qwen3 VL 32B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Phi 4 Mini Reasoning

MIT

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

Phi 4 Mini Reasoning

Apr 30, 2025

12 months ago

Qwen3 VL 32B Thinking

Sep 22, 2025

7 months ago

4mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm Phi 4 Mini Reasoning's training data extends to 2025-02-01, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

Phi 4 Mini Reasoning

Feb 2025

Qwen3 VL 32B Thinking

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (73.1% vs 52.0%)

Detailed Comparison

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

FAQ

Common questions about Phi 4 Mini Reasoning vs Qwen3 VL 32B Thinking

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. Phi 4 Mini Reasoning is made by Microsoft and Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.
Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Phi 4 Mini Reasoning is developed by Microsoft and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.