gpt-5.2-codex — API, Pricing & Context Window | Vivgrid
gpt-5.2-codex on Vivgrid: a Codex-tuned coding model on the Responses API with a 400K context window, function calling, and regional acceleration.
gpt-5.2-codex is a Codex-tuned member of the GPT-5 family, built for agentic coding on OpenAI's Responses API. It is a dependable choice for software-engineering agents that read, edit, and test code in a loop.
Vivgrid serves gpt-5.2-codex with geo-distributed acceleration across AMER and EMEA and a 400K-token context window, so it can hold substantial project context within a single session.
Specifications
| Provider | OpenAI |
| Model ID | gpt-5.2-codex |
| Best for | Coding |
| Available on | Vibe coding |
| Context window | 400,000 tokens |
| Max output | 128,000 tokens |
| Modalities | Text, Image |
| Tool / function calling | Yes |
| Knowledge cutoff | 2025-08 |
| Acceleration | ⚡ Geo-Distributed — AMER, EMEA |
Pricing
Pricing in USD per 1M tokens.
| Input | Cached input | Output |
|---|---|---|
| $1.75 | $0.175 | $14.00 |
What one request costs
The rates above applied to a 20K-token prompt with a 2K-token reply — a typical single agent turn, small enough that every request is billed at the base rate.
| Request | Cost |
|---|---|
| Cold prompt, nothing cached | $0.0630 |
| Warm prompt, 90% of the input served from cache | $0.0347 |
API surfaces
The Vivgrid Console catalogs gpt-5.2-codex on one surface, all behind the same API key. The endpoint shown is the one the Console previews for that surface.
| Surface | Primary endpoint | Use it for |
|---|---|---|
| Vibe coding | /responses | Coding CLIs and IDE agents that drive the model themselves — point the tool at Vivgrid and keep your own loop. |
Quick start
Get an API key from the Vivgrid Console, then call gpt-5.2-codex directly.
curl https://api.vivgrid.com/v1/responses \
-H "Authorization: Bearer $VIVGRID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.2-codex",
"input": "Refactor this function and explain the change.",
"stream": true
}'Ideal use cases
- Codex and Responses-API coding assistants
- Automated refactoring, test generation, and bug fixing
- Tool-calling agents that orchestrate shell and editor actions
- Cost-aware coding workloads that don't need the latest Codex release
Related models
- gpt-6-astra — the gpt-6 generation flagship
- gpt-5.3-codex — the newer Codex generation
- gpt-6.1-sol — the balanced gpt-6 coding model