Explore OpenAI: GPT-5.2-Codex

Openai: OpenAI: GPT-5.2-Codex

Input: text · image Output: text Context: 400,000 tokens Release: 2026-01-14

Use Cases

Here are a few ways teams apply OpenAI: GPT-5.2-Codex in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Meeting transcription & notes

Multilingual audio translation

Audio understanding

Reliable drafting

Specs

Overview
Vendor
openai
Model ID
openai/gpt-5.2-codex
Release
2026-01-14
Modalities & context
Input
text · image
Output
text
Context
400,000 tokens
Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, tool_choice, tools, top_logprobs

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: OpenAI: GPT-5.2-Codex

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

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up.end
/ˌəpˈend/
verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.