DeepSeek-V3.2 (Thinking) vs GPT-5 Codex Comparison
Comparing DeepSeek-V3.2 (Thinking) and GPT-5 Codex across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2 (Thinking) outperforms in 0 benchmarks, while GPT-5 Codex is better at 1 benchmark (SWE-Bench Verified).
GPT-5 Codex significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.2 (Thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Thinking) specifies output context (65,536 tokens).
License
Usage and distribution terms
DeepSeek-V3.2 (Thinking) is licensed under MIT, while GPT-5 Codex uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3.2 (Thinking) was released on 2025-12-01, while GPT-5 Codex was released on 2025-09-15.
DeepSeek-V3.2 (Thinking) is 3 months newer than GPT-5 Codex.
Dec 1, 2025
3 months ago
2mo newerSep 15, 2025
6 months ago
Knowledge Cutoff
When training data ends
GPT-5 Codex has a documented knowledge cutoff of 2024-09-30, while DeepSeek-V3.2 (Thinking)'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 DeepSeek-V3.2 (Thinking)'s cutoff date.
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Sep 2024
Outputs Comparison
Key Takeaways
GPT-5 Codex
View detailsOpenAI
Detailed Comparison
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