
Unlock GPT-5 Capabilities
Massive Context
400k Token Window
Process entire documents in one call with 272k input and 128k output tokens.
Agentic Workflows
Responses API Chains
Maintain chain-of-thought across turns for multi-step reasoning and tool use.
Freeform Tools
Execute Arbitrary Code
Send raw text like SQL or commands directly to custom tools without JSON limits.
Examples
See what GPT-5 can create
Copy any prompt below and try it yourself in the playground.
Code Debug
“Analyze this Python function for bugs, explain fixes step-by-step, and output corrected code in a fenced block.”
Data Query
“Generate SQL for sales data from 2025, filter top products by region, using dialect-specific syntax.”
Agent Task
“Plan multi-step workflow to research market trends, call web search tool, synthesize findings into report.”
JSON Schema
“Output user profile data matching this JSON schema: {name: string, age: number, skills: array}, constrained format.”
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
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())