GPT-5.3 Codex vs QvQ-72B-Preview Comparison
Comparing GPT-5.3 Codex and QvQ-72B-Preview across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.3 Codex and QvQ-72B-Preview don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only GPT-5.3 Codex specifies input context (400,000 tokens). Only GPT-5.3 Codex specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-5.3 Codex and QvQ-72B-Preview support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.3 Codex
QvQ-72B-Preview
License
Usage and distribution terms
GPT-5.3 Codex is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen
Open weights
Release Timeline
When each model was launched
GPT-5.3 Codex was released on 2026-02-05, while QvQ-72B-Preview was released on 2024-12-25.
GPT-5.3 Codex is 14 months newer than QvQ-72B-Preview.
Feb 5, 2026
1 months ago
1.1yr newerDec 25, 2024
1.2 years ago
Knowledge 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
Detailed Comparison
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