GPT 6.1 Terra Economy

GPT 6.1 Terra Economy offers an ultra-low-cost deployment channel for OpenAI's premier GPT 6.1 Terra model architecture. Engineered to handle sustained multi-turn coding runs, automated tool usage, complex document parsing, and agentic workflows, this Economy channel is specifically optimized for maximum budget efficiency. While retaining the underlying reasoning power, adaptive problem-solving depth, and multi-modal perception of GPT 6.1 Terra, it operates with dynamic stability limits and lower concurrency priority compared to the standard Official channel.

GPT 6.1 Terra Economy

GPT-6.1 Terra Economy is OpenAI's latest frontier-class multimodal flagship model, engineered for extreme throughput, large-scale agentic workflows, and end-to-end complex real-world system manipulation. The Terra architecture deeply integrates adaptive dynamic reasoning, symbolic environment modeling, and native computer vision and system interaction capabilities, supporting multimodal inputs and a long context window. It demonstrates exceptional performance in long-horizon code refactoring, cross-platform autonomous GUI operations (Computer Use), long-range financial engineering deduction, and complex multi-tool orchestration—balancing top-tier intelligence with industrial-grade high energy efficiency, serving as the ideal foundation for next-generation automated agents and enterprise-grade systems.

Base URL

https://api.icreat.ai/v1

Model Code

gpt-6.1-terra

Authentication

All API requests require authentication via an API Key. You can obtain your 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,
}

Keep Your API Key Secure Never expose your API Key in client-side code or public repositories. Store and use your API Key via environment variables or a backend proxy.

Code Examples

This model is accessed via an OpenAI-compatible Chat Completions endpoint and supports both streaming and non-streaming modes. Setting stream to false (default) in the request body causes the server to return the complete JSON response at once; setting it to true streams incremental chunks using Server-Sent Events (SSE), suitable for real-time output display.

POST/chat/completions

curl --fail-with-body --connect-timeout 10 --max-time 60 \
  -X POST https://api.icreat.ai/v1/chat/completions \
  -H "Authorization: Bearer ${ICREAT_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-6.1-terra",
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Coffee or tea? Which is healthier?"}
  ],
  "reasoning_effort": "medium",
  "stream": false
}'

Input Parameters

The following parameters are accepted in the request body.

Total: 6 Required: 2 Optional: 4

modelstringrequired

The model ID used for completion. Must be the iCreat model_code (gpt-6.1-terra for this model, not the original provider model name).

Example: "gpt-6.1-terra"

messagesarray[object]required

The list of messages comprising the conversation.

reasoning_effortstring

Reasoning effort budget control.

lowmediumhigh

max_tokensinteger

The maximum number of tokens to generate.

temperaturenumber

Sampling temperature, between 0 and 2. Keeping the default value of 1.0 is recommended when high reasoning intensity is enabled.

streamboolean

If set to true, streams the response via Server-Sent Events (SSE).

Output Parameters

The API returns a response format compatible with OpenAI Chat Completions.

Total: 6

idstring

A unique identifier for the completion.

objectstring

The object type, always chat.completion.

createdinteger

The Unix timestamp of when the completion was created.

modelstring

The model ID used for the completion.

choicesarray[object]

A list of completion choices.

usageobject

Token usage statistics.

LLM-Friendly Prompt

Below is an LLM-friendly Markdown prompt that can be copied into AI assistants such as Cursor or ChatGPT to help the AI understand this model's API integration method, invocation workflow, and key parameters. Click the "Copy LLM Prompt" button or copy the full text from the code block below.

# gpt-6.1-terra

> GPT-6.1 Terra is OpenAI's latest frontier-class multimodal flagship model, engineered for extreme throughput, large-scale agentic workflows, and system-level environment manipulation.

## Overview

Use iCreat's OpenAI-compatible Chat Completions API for conversational completions, supporting streaming, non-streaming, native deep reasoning, and reasoning_effort budget configuration.

## API Information

- **Base URL**: `https://api.icreat.ai/v1`
- **Endpoint (POST)**: `/chat/completions`
- **Model ID**: `gpt-6.1-terra`
- **Authentication**: `Authorization: Bearer ${ICREAT_API_KEY}`

## Invocation Workflow

Single POST request; `stream: false` returns a complete JSON response, and `stream: true` streams via SSE.

### Input Notes

- `model` (required): iCreat model_code `gpt-6.1-terra`
- `messages` (required): List of conversation messages
- Common optional fields: `reasoning_effort` (reasoning intensity: `low`, `medium`, `high`), `max_tokens` (maximum output tokens), `temperature` (sampling temperature), `stream` (streaming toggle)

### Output Notes

- Read the completion content from `choices[0].message.content`

## Important Notes

- `model` must strictly match the iCreat model_code
- All other fields follow standard OpenAI Chat Completions protocol specifications