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Available now on ModelsLab · Language Model

OpenAI: GPT-5.2 ProReason XHigh, Output Precise

Try OpenAI: GPT-5.2 ProAPI Documentation

Deploy Pro Reasoning Now

XHigh Reasoning

Deep Multi-Step Logic

Supports reasoning.effort: medium, high, xhigh for complex analysis and fewer errors.

400K Context

Long Document Handling

Processes up to 400,000 input tokens with 128,000 output for enterprise workflows.

Multimodal Input

Text Plus Images

Analyzes text and images via OpenAI: GPT-5.2 Pro model for accurate understanding.

Examples

See what OpenAI: GPT-5.2 Pro can create

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

Code Refactor

“Refactor this Python function for efficiency, handling edge cases with xhigh reasoning: def process_data(data): return sorted(data). Analyze performance bottlenecks first.”

Document Summary

“Summarize key insights from this 200K-token legal contract image, highlighting risks and clauses with high reasoning effort.”

Math Proof

“Prove this statistical theorem step-by-step using xhigh reasoning, verifying each inference for unsolved problem in learning theory.”

Agent Workflow

“Design multi-turn agent for CRM integration, planning tasks across 400K context with tool calls and background mode.”

For Developers

A few lines of code.
XHigh reasoning. One call.

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 OpenAI: GPT-5.2 Pro

Read the docs

Flagship LLM optimized for reasoning, 400K context, and multimodal input. Available via Responses API as gpt-5.2-pro. Supports xhigh effort for pro tasks.

Use LLM endpoint for multi-turn interactions and reasoning.effort levels. Enable background mode for long jobs. Outputs up to 128K tokens.

Matches OpenAI specs at lower cost with same 400K context and xhigh reasoning. Direct API access without waitlists. Ideal for scaling.

Yes, handles text plus image inputs for analysis. Produces text outputs with high accuracy. Use for document and visual reasoning.

Configurable: medium, high, xhigh for logic depth. Xhigh minimizes errors in math, science, legal tasks. Set via API parameter.

Yes, offers stability, long context, and customization. Reduces supervision needs with precise responses. Integrates with tools and workflows.

Ready to create?

Start generating with OpenAI: GPT-5.2 Pro on ModelsLab.

Try OpenAI: GPT-5.2 ProAPI Documentation