Model Comparison
GPT-5.2 Codex vs Qwen3 VL 32B Thinking
Comparing GPT-5.2 Codex and Qwen3 VL 32B Thinking across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.2 Codex and Qwen3 VL 32B Thinking 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-5.2 Codex specifies input context (400,000 tokens). Only GPT-5.2 Codex specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-5.2 Codex and Qwen3 VL 32B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2 Codex
Qwen3 VL 32B Thinking
License
Usage and distribution terms
GPT-5.2 Codex is licensed under a proprietary license, 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-5.2 Codex was released on 2026-01-14, while Qwen3 VL 32B Thinking was released on 2025-09-22.
GPT-5.2 Codex is 4 months newer than Qwen3 VL 32B Thinking.
Jan 14, 2026
3 months ago
3mo newerSep 22, 2025
6 months 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
Qwen3 VL 32B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5.2 Codex vs Qwen3 VL 32B Thinking