Model Comparison

Phi 4 vs QvQ-72B-PreviewWhich is better in 2026?

Comparing Phi 4 and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

Verdict: Phi 4 vs QvQ-72B-Preview — which is better?

Phi 4 (by Microsoft) and QvQ-72B-Preview (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 if…

  • you want predictable pricing at $0.07/M input and $0.14/M output

Choose QvQ-72B-Preview if…

  • you want the most recent training data — it shipped Dec 2024
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi 4 and QvQ-72B-Previewdon'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

58.7B diff

QvQ-72B-Preview has 58.7B more parameters than Phi 4, making it 399.3% larger.

Microsoft
Phi 4
14.7Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
14.7B
Phi 4
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only Phi 4 specifies input context (16,000 tokens). Only Phi 4 specifies output context (16,000 tokens).

Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Mon Jun 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas Phi 4 does not.

QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi 4

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 is licensed under MIT, while QvQ-72B-Preview uses Qwen.

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

Phi 4

MIT

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Phi 4 was released on 2024-12-12, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 0 month newer than Phi 4.

Phi 4

Dec 12, 2024

1.5 years ago

QvQ-72B-Preview

Dec 25, 2024

1.5 years ago

1w newer

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

Phi 4

Jun 2024

QvQ-72B-Preview

—

Outputs Comparison

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Key Takeaways

Microsoft
Larger context window (16,000 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi 4
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about Phi 4 vs QvQ-72B-Preview.

Which is better, Phi 4 or QvQ-72B-Preview?

Phi 4 (Microsoft) and QvQ-72B-Preview (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 compare to QvQ-72B-Preview in benchmarks?

Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Phi 4 and QvQ-72B-Preview?

Phi 4 supports 16K tokens and QvQ-72B-Preview 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 and QvQ-72B-Preview?

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

Who makes Phi 4 and QvQ-72B-Preview?

Phi 4 is developed by Microsoft and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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