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GPT-5.2 API — OpenAI-Compatible LLM AccessOpenAI-compatible GPT-5.2 chat completions via REST. Streaming, function calling.

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GPT-5.2 API — OpenAI-Compatible LLM Access

Why developers ship with GPT-5.2

OpenAI compatible

Drop-in chat completions endpoint

GPT-5.2 is exposed via the OpenAI-compatible /v1/chat/completions surface. Swap the base URL and your existing OpenAI SDK code works unchanged.

Streaming

Token-by-token streaming

Stream responses with server-sent events for low-latency UX. Same SSE format as the OpenAI API so client SDKs work without modification.

Function calling

Structured tool use

Define functions in the request, and GPT-5.2 returns structured tool calls when appropriate. Supports parallel tool calls and JSON-mode for schema-constrained output.

Context window

Large context for RAG and agents

Extended context windows allow long documents, RAG pipelines, and agent loops without aggressive truncation. Suitable for code generation, long-form writing, and document QA.

Predictable pricing

Per-token billing

Pay per input + output token. No subscription required, no monthly minimum. Volume pricing kicks in at 100M tokens per month.

Multi-modal pipelines

Combine GPT-5.2 with image, video, audio

Use GPT-5.2 to generate prompts for the image-generation API, scripts for the video API, or scripts for voice cloning — all through one ModelsLab API key.

Reliability

Dedicated capacity, no cold starts

GPT-5.2 runs on dedicated infrastructure with consistent latency. No cold starts on the first request, and burst capacity for traffic spikes.

Compliance

GDPR and DPA available

Prompts and completions processed in compliant regions; not used for training. Signed DPA and dedicated VPC deployments available for enterprise customers.

Examples

GPT-5.2 use cases

Copy any prompt below and try it yourself in the playground.

Code Generator

“Write a Python Flask API for user authentication with JWT, including database schema in SQLAlchemy, unit tests, and deployment script for Docker. Use best practices for security.”

Financial Model

“Build a spreadsheet model in CSV format for startup valuation using DCF method. Include assumptions, 5-year projections, sensitivity analysis, and charts described in markdown.”

Project Plan

“Create a detailed project plan for migrating a monolith app to microservices. Break into phases, assign tasks, estimate timelines, risks, and generate Gantt chart in ASCII.”

Document Analysis

“Analyze this 50k-token RFP document [insert text]. Extract key requirements, propose solution architecture, timeline, and budget in a professional report format.”

For Developers

A few lines of code.
OpenAI-compatible chat completions

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about GPT-5.2 API — OpenAI-Compatible LLM Access

Read the docs

The GPT-5.2 API is an OpenAI-compatible REST endpoint exposing the GPT-5.2 chat completion model on ModelsLab infrastructure. Use the same SDKs, request format, and tool-calling schema as the official OpenAI API by changing only the base URL.

GPT-5.2 is a refresh of the GPT-5 family with stronger instruction following, better tool-use accuracy, and updated training data. It is intended as a drop-in upgrade for GPT-5 integrations — same API surface, improved outputs.

Yes. The endpoint accepts the same /v1/chat/completions request schema as the OpenAI API. Set base_url to ModelsLab's URL, supply your ModelsLab API key, and existing OpenAI SDK code works unchanged in Python, JavaScript, Go, and other languages.

Yes. Pass a tools array in the request and GPT-5.2 returns structured tool_calls when appropriate. Parallel tool calls are supported, and the response format is identical to the OpenAI tool-calling spec.

Yes. Set stream=true in the request body to receive server-sent events. The SSE format is identical to the OpenAI streaming format, so client SDKs that handle OpenAI streaming work without modification.

GPT-5.2 supports extended context windows suitable for RAG pipelines, long-form generation, and multi-turn agent loops. Specific limits are documented in the API reference and may evolve as the underlying model improves.

Pricing is per token, billed separately for input and output. No subscription required, no monthly minimum. Volume discounts available for 100M+ tokens per month — contact sales for enterprise pricing.

No. Prompts and completions sent to the GPT-5.2 API on ModelsLab are not used for training. A signed DPA documents the contract terms, and enterprise plans include dedicated VPC deployments for additional isolation.

Yes — that is one of the most common patterns. Use GPT-5.2 to generate image prompts, video scripts, or voice cloning text, then call the image, video, or audio endpoints with the same API key on the same dashboard.

Default rate limits start at 60 requests per minute and scale automatically with usage. Enterprise plans include higher limits or dedicated capacity. Contact sales if you need custom rate-limit terms.

Ready to create?

Start generating with GPT-5.2 API — OpenAI-Compatible LLM Access on ModelsLab.

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