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GPT-5.2 vs GPT-5.3 Codex
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-5.2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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.
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OpenAI
GPT-5.3 Codex, released by OpenAI in February 2026, is a coding-specialized large language model from the GPT-5.3 family. It targets software engineering workflows including automated code generation, test writing, and agentic multi-file editing, built on the incremental improvements of the GPT-5.3 generation.
1 month newer
GPT-5.2
OpenAI
2025-12-11
GPT-5.3 Codex
OpenAI
2026-02
Average performance across 1 common benchmarks
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GPT-5.2
Average Score:64.7%
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GPT-5.3 Codex
Average Score:64.7%
Performance comparison across key benchmark categories
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GPT-5.2
Coding64.7%
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GPT-5.3 Codex
Coding64.7%
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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-5.2
0 providers
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GPT-5.3 Codex
0 providers
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GPT-5.2
Avg Score:64.7%
Providers:0
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GPT-5.3 Codex
Avg Score:64.7%
Providers:0