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DeepSeek-V3.2 Thinking vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 1.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
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OpenAI
GPT-5 Codex, released by OpenAI in August 2025, is a coding-specialized large language model from the GPT-5 family engineered for software engineering, code generation, and agentic development workflows. It builds on GPT-5's architecture with optimizations targeting multi-file code editing, test generation, and automated debugging. GPT-5 Codex targets developers and agentic coding tools requiring a model tuned specifically for programming tasks.
1 month newer
GPT-5 Codex
OpenAI
2025-08
DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3.2 Thinking
Average Score:73.1%
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GPT-5 Codex
Average Score:74.5%(+1.4%)
Performance comparison across key benchmark categories
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DeepSeek-V3.2 Thinking
Coding73.1%
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GPT-5 Codex
Coding74.5%(+1.4%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2 Thinking
1 providers
DeepSeek
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GPT-5 Codex
0 providers
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DeepSeek-V3.2 Thinking
Avg Score:73.1%
Providers:1
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GPT-5 Codex
Avg Score:74.5%(+1.4%)
Providers:0