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Model details

GPT-5-Codex

GPT-5-Codex is a version of GPT-5 that OpenAI has further optimized for agentic coding inside its Codex environment. According to OpenAI's release notes, the model was trained with a focus on real-world software engineering work, aiming to be equally capable during quick, interactive sessions and when independently powering through long, complex tasks. Its code review capability is positioned to catch critical bugs before they ship, making the model useful not only for generating code but also for acting as an automated reviewer across pull requests.

Because GPT-5-Codex is designed to handle extended, multi-step developer work, it fits naturally into the surfaces where engineers already write code: the terminal, IDE, web, and phone. OpenAI describes it as the default model across the Codex experience, with a Responses API surface available to developers using an API key in addition to ChatGPT subscribers. Third-party coverage highlights repository-scale context handling, more style-aware generation, and tighter integration with CLI and IDE workflows, pointing to a model that is meant to stay useful as projects grow rather than just assist with isolated snippets.

Poeopenai/gpt-5-codexgpt-codex

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Provider
Poe
Model key
openai/gpt-5-codex
Release date
Sep 23, 2025
Last updated
Sep 23, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.10
Output token cost
$9.00

Limits

Output tokens
128,000 tokens
Context window
400,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GPT-5-Codex

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Coverage

A July 14, 2026 blog post on Digital Applied reports that OpenAI's April 22, 2026 deprecation notice schedules 13 model snapshots for retirement on July 23, 2026, including every pre-5.3 Codex variant. The article explicitly lists gpt-5-codex, gpt-5.1-codex, gpt-5.1-codex-max, gpt-5.1-codex-mini, and gpt-5.2-codex amon The same piece frames the change as an already-announced 92-day migration window rather than breaking news, but stresses that the replacement mapping is not a find-and-replace and requires active testing per workload. It also notes the broader retirement wave covers chat-latest, deep-research, computer-use-preview, and

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