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Model details

GPT 5.1 Codex

GPT 5.1 Codex continues the Codex lineage of OpenAI models oriented toward programming assistance, with the broader family described as evolving from earlier OpenAI Codex-style and GPT-family models focused on software development support. Third-party developer channels reference GPT 5.1 Codex in community discussions around editor integrations, reflecting its placement within tools aimed at coders rather than general chat users. A separately marketed "GPT-5.1-Codex-Max" variant is described as an OpenAI code-focused model optimized for software development assistance and complex programming tasks, including code generation, understanding, and transformation across multiple languages, which suggests the 5.1 Codex generation targets professional coding workflows over broad conversational use.

In practical terms the model is positioned for generating and editing source code, explaining code behavior, and helping debug complex programming issues, alongside adjacent tasks such as code migration, API integration guidance, and producing developer-focused documentation or examples. Documented strengths in code reasoning imply it can follow multi-step programming instructions and maintain coherent context across iterative edits, suiting workflows like pair-programming inside editors, repository-level refactors, and inline bug investigation. The combination of these coding-first capabilities with broader reasoning makes GPT 5.1 Codex a fit for developers seeking an OpenAI-aligned model that emphasizes reliable software engineering assistance rather than open-ended dialogue.

NanoGPTopenai/gpt-5.1-codexgpt-codex

Quick Info

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Provider
NanoGPT
Model key
openai/gpt-5.1-codex
Release date
Nov 13, 2025
Last updated
Nov 13, 2025
Knowledge cutoff
2024-09-30
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.25
Output token cost
$10.00

Limits

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

Transparent token rates

Compare gpt-codex pricing

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

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