---
title: GPT-5.2 Pro — Advanced Reasoning LLM | ModelsLab
description: Access OpenAI: GPT-5.2 Pro API for 400K context, xhigh reasoning, and multimodal tasks. Generate precise outputs via LLM endpoint today.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/openai-gpt-52-pro
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/openai-gpt-52-pro
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T10:35:11.752089Z
---

Available now on ModelsLab · Language Model

OpenAI: GPT-5.2 Pro
Reason XHigh, Output Precise
---

[Try OpenAI: GPT-5.2 Pro](/models/open_router/openai-gpt-5.2-pro) [API Documentation](https://docs.modelslab.com)

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](/models/open_router/openai-gpt-5.2-pro).

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 ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

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

FAQ

Common questions about OpenAI: GPT-5.2 Pro
---

[Read the docs ](https://docs.modelslab.com)

### What is OpenAI: GPT-5.2 Pro?

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.

### How does openai gpt 5.2 pro API work?

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

### What makes OpenAI: GPT-5.2 Pro alternative better?

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

### Does OpenAI: GPT-5.2 Pro model support images?

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

### What is reasoning.effort in openai gpt 5.2 pro?

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

### Is OpenAI: GPT-5.2 Pro LLM for enterprise?

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 Pro](/models/open_router/openai-gpt-5.2-pro) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-05-13*