Model Comparison
QvQ-72B-Preview vs Qwen3 VL 4B Thinking
Qwen3 VL 4B Thinking significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
QvQ-72B-Preview outperforms in 0 benchmarks, while Qwen3 VL 4B Thinking is better at 1 benchmark (MathVision).
Qwen3 VL 4B Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
QvQ-72B-Preview has 69.4B more parameters than Qwen3 VL 4B Thinking, making it 1735.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 4B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 4B Thinking specifies output context (262,144 tokens).
Input Capabilities
Supported data types and modalities
Both QvQ-72B-Preview and Qwen3 VL 4B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
QvQ-72B-Preview
Qwen3 VL 4B Thinking
License
Usage and distribution terms
QvQ-72B-Preview is licensed under Qwen, while Qwen3 VL 4B Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Qwen
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
QvQ-72B-Preview was released on 2024-12-25, while Qwen3 VL 4B Thinking was released on 2025-09-22.
Qwen3 VL 4B Thinking is 9 months newer than QvQ-72B-Preview.
Dec 25, 2024
1.3 years ago
Sep 22, 2025
7 months ago
9mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
QvQ-72B-Preview
View detailsAlibaba Cloud / Qwen Team
Qwen3 VL 4B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about QvQ-72B-Preview vs Qwen3 VL 4B Thinking