---
title: OpenAI: GPT-5 — LLM | ModelsLab
description: Access OpenAI: GPT-5 API for agentic tasks, 400K context, and multimodal reasoning. Generate smarter code and workflows now.
url: https://modelslab.com/openai-gpt-5
canonical: https://modelslab.com/openai-gpt-5
type: website
component: Seo/ModelPage
generated_at: 2026-05-05T20:10:32.625635Z
---

Available now on ModelsLab · Language Model

OpenAI: GPT-5
OpenAI GPT-5 Power
---

[Try OpenAI: GPT-5](/models/open_router/openai-gpt-5) [API Documentation](https://docs.modelslab.com)

Unlock GPT-5 Capabilities
---

Agentic Execution

### Autonomous Tool Calling

Executes multi-step workflows with native function calls and web search.

Massive Context

### 400K Token Window

Handles long inputs with persistent memory across sessions.

Multimodal Native

### Text Image Audio

Processes multiple modalities from unified training.

Examples

See what OpenAI: GPT-5 can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/openai-gpt-5).

Code Generator

“Write a Python script to analyze sales data from a CSV file, generate visualizations with matplotlib, and output a summary report with key insights.”

Math Solver

“Solve this AIME-level math problem step-by-step: Find the number of integer solutions to x^2 + y^2 + z^2 = 2025 where x, y, z are positive integers.”

Workflow Agent

“Plan a marketing campaign: research competitors, draft email copy, generate social media posts, and outline A/B test metrics.”

Technical Summary

“Summarize the key differences between transformer architectures in GPT-4 and GPT-5, focusing on context handling and agentic improvements.”

For Developers

A few lines of code.
GPT-5. 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
---

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

### What is OpenAI: GPT-5 model?

OpenAI: GPT-5 is a multimodal LLM with 400K token context, native agent tools, and persistent memory. It unifies fast and reasoning modes automatically.

### How does openai gpt 5 api differ from GPT-4?

GPT-5 adds autonomous execution, safe completions, and reduced hallucinations over GPT-4. Context expands to 400K tokens with better long-task handling.

### Is OpenAI: GPT-5 alternative available?

Access OpenAI: GPT-5 API via ModelsLab endpoints. Matches official specs for coding, math, and agentic tasks.

### What context size for openai gpt 5 model?

Supports 400K tokens combining input and output. Excels at retrieving facts from large contexts without errors.

### Does openai: gpt-5 model support tools?

Native tool calling for functions, code execution, and web search. Chains dozens of calls in parallel or sequence.

### OpenAI: GPT-5 LLM for coding?

Sets benchmarks in SWE-bench and Aider with 74.9% verified coding success. Generates UI and apps from minimal prompts.

Ready to create?
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Start generating with OpenAI: GPT-5 on ModelsLab.

[Try OpenAI: GPT-5](/models/open_router/openai-gpt-5) [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 - 2026-05-06*