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  4. GPT-5 Codex
OpenAI
Released September 23, 2025Cutoff September 2024

GPT-5 Codex

GPT-5 Codex by OpenAI: a GPT-5 variant optimized for agentic coding, long-horizon technical work, large context windows, and integrated IDE/CLI workflows.

Visit OpenAIAnnouncement
Inputs
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Image
Outputs
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Model Overview

Capabilities, design details, and architectural traits

GPT-5 Codex - Codex-native agentic coding model

GPT-5 Codex is a documented variant of GPT-5 that is explicitly optimized to run as an agent inside Codex products (CLI, IDE extension, web, mobile) and to support practical software-engineering workflows. It is intended for long-horizon, agentic coding tasks rather than generic chat-first use.

TraitWhat the documentation says that makes it distinctive
Codex-nativeDescribed as a version of GPT-5 optimized for agentic coding within Codex products rather than the general-purpose GPT-5 model.
Agentic long-horizon workDesigned to scale reasoning time dynamically and support extended sessions (from short runs to multi-hour project work) for tasks like refactoring, reviews, and large edits.
Integrated IDE/CLI workflowsProvided as the default model across Codex CLI, IDE extensions, web, mobile, GitHub reviews, and terminal workflows to operate directly in developer tools.
Large context and output supportExposed with very large context windows and high max output token limits in the official model spec for handling large repositories and long interactions.
Optimized for code review and refactoringTraining and evaluation emphasize debugging, refactors, and code-review quality; documentation cites improved review comment correctness and higher-impact comments.

Defining concept

The core idea of GPT-5 Codex is a specialized GPT-5 snapshot tuned and delivered as an agent inside developer tooling so it can autonomously navigate repos, run commands, edit files, and persist state across environments for substantial engineering work.

Operational notes

  • The model is offered through Codex features in ChatGPT (Plus/Pro/Business/Edu/Enterprise) and via Codex CLI/IDE integrations as the Codex-native option.
  • Official materials emphasize its role in improving engineering workflows by being able to choose reasoning time and operate across tools rather than acting as a generic conversational model.

Benchmark Performance

Independent evaluations · Artificial Analysis

37.0%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science83.7%
Humanity's Last Exam27.8%
SciCode - Scientific Coding40.9%
Instruction Following74.1%
Long Context Reasoning71.0%
τ²-Bench - Agentic Tasks86.8%
TerminalBench - System Control37.9%
Specs
Context window
400Ktokens
Input pricing
$1.25per 1M tokens
Output pricing
$10per 1M tokens
Cached input
$0.13per 1M tokens

Prices in USD.

Key Capabilities & Ratings

Coding70%
Logical Logic70%
Frontend Dev70%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderOpenAIAnthropicAnthropic
Release DateSeptember 23, 2025July 24, 2026June 9, 2026
Knowledge CutoffSep 2024May 2026-
Context & Limits
Context Window400K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$1.25
Best Input Pricing
$5$10
Output Pricing
$10
Best Output Pricing
$25$50
Modalities
Inputs
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Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index37.0
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
GPT-5 Codex
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

84%
GPT-5 Codex
GPQA Benchmark
Score: 84%
GPT-5 Codex
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

28%
GPT-5 Codex
Humanity's Last Exam
Score: 28%
GPT-5 Codex
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

71%
GPT-5 Codex
Long Context Reasoning
Score: 71%
GPT-5 Codex
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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