Model Comparison

Phi 4 Reasoning vs Qwen2.5 VL 72B InstructWhich is better in 2026?

Comparing Phi 4 Reasoning and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.

Verdict: Phi 4 Reasoning vs Qwen2.5 VL 72B Instruct — which is better?

Phi 4 Reasoning (by Microsoft) and Qwen2.5 VL 72B 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.

Choose Phi 4 Reasoning if…

  • you want the most recent training data — it shipped Apr 2025

Choose Qwen2.5 VL 72B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi 4 Reasoning and Qwen2.5 VL 72B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

58.0B diff

Qwen2.5 VL 72B Instruct has 58.0B more parameters than Phi 4 Reasoning, making it 414.3% larger.

Microsoft
Phi 4 Reasoning
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
14.0B
Phi 4 Reasoning
72.0B
Qwen2.5 VL 72B Instruct

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas Phi 4 Reasoning does not.

Qwen2.5 VL 72B 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

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 Reasoning is licensed under MIT, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.

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

Phi 4 Reasoning

MIT

Open weights

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Phi 4 Reasoning was released on 2025-04-30, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Phi 4 Reasoning is 3 months newer than Qwen2.5 VL 72B Instruct.

Phi 4 Reasoning

Apr 30, 2025

1.1 years ago

3mo newer
Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Qwen2.5 VL 72B 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 Qwen2.5 VL 72B Instruct's cutoff date.

Phi 4 Reasoning

Mar 2025

Qwen2.5 VL 72B Instruct

Outputs Comparison

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Key Takeaways

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

Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi 4 Reasoning
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct

FAQ

Common questions about Phi 4 Reasoning vs Qwen2.5 VL 72B Instruct.

Which is better, Phi 4 Reasoning or Qwen2.5 VL 72B Instruct?

Phi 4 Reasoning (Microsoft) and Qwen2.5 VL 72B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Phi 4 Reasoning compare to Qwen2.5 VL 72B Instruct in benchmarks?

Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the main differences between Phi 4 Reasoning and Qwen2.5 VL 72B Instruct?

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

Who makes Phi 4 Reasoning and Qwen2.5 VL 72B Instruct?

Phi 4 Reasoning is developed by Microsoft and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.