GPT 6.1 Sol Economy
GPT 6.1 Sol Economy offers an ultra-low-cost deployment channel for OpenAI's latest GPT-6.1 Sol architecture. Delivering near-Astra level reasoning, agentic code synthesis, and multi-step tool execution, this Economy channel is specifically optimized for extreme cost reduction. While maintaining the core intelligence of the Sol architecture, it operates with lower concurrency priority and dynamic stability limits compared to the standard Official channel. It is the ideal choice for developers driving background batch processing, automated code testing, non-urgent document analysis, and large-scale asynchronous LLM pipelines where unit economics are paramount.
GPT 6.1 Sol Economy
GPT-6.1 Sol is OpenAI's flagship frontier model engineered for long-horizon, complex end-to-end enterprise workflows. Representing a major generational leap toward agentic intelligence, Sol integrates deep multi-step reasoning, advanced software engineering, and native computer-use capabilities to navigate software interfaces and execute multi-application workflows directly via GUI. Powered by symbolic world modeling and dynamic course-correction, it can break open-ended goals into actionable steps, handle ambiguous edge cases, and execute complex operations across unstructured environments. Setting new benchmarks on ARC-AGI-3 as well as complex financial, scientific, and coding tasks, GPT-6.1 Sol is built for enterprise agent orchestration, autonomous software development, financial intelligence, and complex legal/business decision support.
Base URL
https://api.icreat.ai/v1Model Code
gpt-6.1-solAuthentication
All API requests must be authenticated with an API Key. You can obtain an API Key from the console.
export ICREAT_API_KEY="your-api-key-here"HTTP Request Headers
import os
API_KEY = os.environ.get("ICREAT_API_KEY")
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer " + API_KEY,
}Protect your API Key
Never expose your API Key in client-side code or public repositories. Use environment variables or a backend proxy.
Code Examples
This model is invoked via the OpenAI-compatible Chat Completions API and supports both streaming and non-streaming modes. With stream: false (default), the server returns the full JSON response at once. With stream: true, partial deltas are pushed as Server-Sent Events (SSE).
Input Schema
The following parameters are accepted in the request body.
Total: 6.1 Required: 2 Optional: 4
The model ID for the completion. Must be the iCreat model_code (gpt-6.1-sol).
Example: "gpt-6.1-sol"
Conversation messages.
Maximum number of tokens to generate.
Sampling temperature, 0–2.
If true, stream via Server-Sent Events.
Extended thinking configuration (if supported).
Output Schema
OpenAI-compatible Chat Completions response.
Total: 6.1
Unique completion identifier.
Object type, always chat.completion.
Unix timestamp.
Model ID used.
List of completion choices.
Token usage statistics.
LLM-friendly prompt
Below is an LLM-friendly Markdown prompt you can copy into Cursor, ChatGPT, or other AI assistants to help them understand this model's API integration, call flow, and key parameters.
# gpt-6.1-sol
> GPT-6.1 Sol is OpenAI's flagship frontier model engineered for long-horizon, complex end-to-end enterprise workflows.
## Overview
Call via iCreat OpenAI-compatible Chat Completions API; supports streaming and non-streaming and extended thinking.
## API Info
- **Base URL**: `https://api.icreat.ai/v1`
- **Endpoint (POST)**: `/chat/completions`
- **Model ID**: `gpt-6.1-sol`
- **Auth**: `Authorization: Bearer ${ICREAT_API_KEY}`
## Call Flow
Single POST; `stream: false` returns full JSON, `stream: true` streams via SSE.
### Input
- `model` (required): iCreat model_code `gpt-6.1-sol`
- `messages` (required): conversation messages
- Common optional: `max_tokens`, `temperature`, `stream`, `thinking`
### Output
- Read reply from `choices[0].message.content`
## Notes
- `model` must be the iCreat model_code
- Other fields follow the OpenAI Chat Completions protocol