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GPT-4o vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-4o supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4o, released by OpenAI in May 2024, is a multimodal large language model from the GPT-4 family that natively processes text, image, and audio inputs in a single end-to-end model. It features a 128K token context window and demonstrated competitive performance across coding, reasoning, and vision benchmarks at its release. GPT-4o targets general-purpose assistant applications, vision-enabled workflows, and use cases requiring low-latency multimodal understanding.
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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 year newer
GPT-4o
OpenAI
2024-05-13
GPT-5 Codex
OpenAI
2025-08
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-4o
2024-04
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-4o
1 providers
OpenAI
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GPT-5 Codex
0 providers
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GPT-4o
Avg Score:0.0%
Providers:1
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GPT-5 Codex
Avg Score:0.0%
Providers:0