Vivgrid: GPT-5.2 Codex
GPT-5.2 Codex is a reasoning model from Vivgrid released on Jan 14, 2026. It reads text and images and writes text, with a 400K token context window and up to 128K tokens per reply.
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It costs $1.75 per million input tokens and $14 per million output tokens. Cached input bills at $0.175, 90% less than fresh input.
It supports tool calling and prompt caching.
- Modalities
- In / out price
- $1.75 / $14 per 1M
- Context
- 400K
- Max output
- 128K
- Released
- Jan 14, 2026
- Knowledge cutoff
- Aug 2025
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
GPT-5.2 Codex pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $1.75 / 1M tokens | |
|---|---|---|
| Output | $14 / 1M tokens | |
| Cached input (read) | $0.175 / 1M tokens | 90% off input |
What GPT-5.2 Codex costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call GPT-5.2 Codex through an OpenAI compatible API.
- Tools
tools - Reasoning
reasoning
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GPT-5.2 Codex questions
How much does the GPT-5.2 Codex API cost?
$1.75 per million input tokens and $14 per million output tokens, with cached input at $0.175. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of GPT-5.2 Codex?
400,000 tokens of input, and it can write up to 128,000 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does GPT-5.2 Codex support tool calling?
Yes. It accepts tool definitions, which is what an agent needs to call your APIs.
Is GPT-5.2 Codex open source?
No. Vivgrid serves it through an API only, so you cannot download the weights or host it yourself.
When was GPT-5.2 Codex released?
Jan 14, 2026, with training data up to Aug 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.