Model Comparison
GPT-5 Codex vs Qwen3-Coder
Comparing GPT-5 Codex and Qwen3-Coder across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 Codex and Qwen3-Coder 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 Qwen3-Coder specifies input context (256,000 tokens). Only Qwen3-Coder specifies output context (256,000 tokens).
License
Usage and distribution terms
GPT-5 Codex is licensed under a proprietary license, while Qwen3-Coder 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 Codex was released on 2025-09-15, while Qwen3-Coder was released on 2025-01-01.
GPT-5 Codex is 9 months newer than Qwen3-Coder.
Sep 15, 2025
7 months ago
8mo newerJan 1, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
GPT-5 Codex has a documented knowledge cutoff of 2024-09-30, while Qwen3-Coder's cutoff date is not specified.
We can confirm GPT-5 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen3-Coder's cutoff date.
Sep 2024
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Outputs Comparison
Key Takeaways
GPT-5 Codex
View detailsOpenAI
Qwen3-Coder
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5 Codex vs Qwen3-Coder