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GPT-5 Codex vs GPT-5.2
Comprehensive side-by-side LLM comparison
GPT-5.2 leads with 11.3% higher average benchmark score. GPT-5.2 supports multimodal inputs. Overall, GPT-5.2 is the stronger choice for coding tasks.
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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.
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OpenAI
GPT-5.2, released by OpenAI on December 11, 2025, is a large language model from the GPT-5 family that improves on GPT-5 in general intelligence, long-context understanding, agentic tool-calling, and vision. It features a 400K token context window, 128K maximum output tokens, and a knowledge cutoff of August 2025. GPT-5.2 targets long-context coding tasks, extended document analysis, and complex agentic workflows requiring reliable instruction following.
4 months newer
GPT-5 Codex
OpenAI
2025-08
GPT-5.2
OpenAI
2025-12-11
Average performance across 3 common benchmarks
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GPT-5 Codex
Average Score:54.0%
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GPT-5.2
Average Score:65.2%(+11.3%)
Performance comparison across key benchmark categories
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GPT-5 Codex
Coding54.0%
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GPT-5.2
Coding65.2%(+11.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-5.2
2025-08
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 Codex
0 providers
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GPT-5.2
0 providers
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GPT-5 Codex
Avg Score:54.0%
Providers:0
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GPT-5.2
Avg Score:65.2%(+11.3%)
Providers:0