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GPT-5 vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5, released by OpenAI on August 7, 2025, is a large language model that combines direct generation and extended reasoning in a single unified system with a built-in routing mechanism. It features a 400K token context window, 128K maximum output tokens, native multimodal support (text, image, audio, video), and demonstrated strong results across coding, mathematics, visual understanding, and health benchmarks at release. GPT-5 targets complex multi-step tasks including advanced coding, mathematical problem solving, and long-context analysis.
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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.
6 days newer
GPT-5 Codex
OpenAI
2025-08
GPT-5
OpenAI
2025-08-07
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5
Average Score:74.9%(+0.4%)
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GPT-5 Codex
Average Score:74.5%
Performance comparison across key benchmark categories
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GPT-5
Coding74.9%(+0.4%)
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GPT-5 Codex
Coding74.5%
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Knowledge Cutoff
Training data recency comparison
GPT-5
2025-05
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
1 providers
OpenAI
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GPT-5 Codex
0 providers
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GPT-5
Avg Score:74.9%(+0.4%)
Providers:1
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GPT-5 Codex
Avg Score:74.5%
Providers:0