GPT-6.1 Terra API

openai/gpt-6.1-terra
This chat model supports text and image inputs with a large context window for complex reasoning and tool calling.
Context
1.05M tokens
Input
$1 / 1M tokens
Output
$5 / 1M tokens
Released
Oct 26, 2026

Overview

What Is GPT-6.1 Terra API?

Developed by OpenAI, GPT-6.1 Terra is a chat model optimized for efficiency and versatility. It excels at processing both text and images to support a wide range of analytical and creative tasks.

The model features a large context window and advanced capabilities like parallel tool calls and vision. It is designed to integrate seamlessly into workflows requiring structured data and reasoning.

What GPT-6.1 Terra Brings to the Table

Visual Reasoning

The model processes image inputs to perform complex visual analysis and reasoning tasks.

Tool Calling

Supports parallel tool calls and structured output through the Responses API for enhanced integration.

Large Context

Features a 1.05M-token context window to handle extensive information and long-form content.

Flexible Input

Accepts both text and image inputs to provide comprehensive responses across different modalities.

Use cases

Analyze complex images to extract insights and perform visual reasoning.

Automate computer use tasks by leveraging parallel tool calling.

Generate natural writing based on large documents or image data.

Produce structured output for data processing and integration workflows.

How to use GPT-6.1 Terra API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to openai/gpt-6.1-terra.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "openai/gpt-6.1-terra",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "openai/gpt-6.1-terra",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-6.1-terra","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

GPT-6.1 Terra API Pricing

TypePrice
Input
$1 / 1M tokens
Output
$5 / 1M tokens
Cached input
$0.05 / 1M tokens

Billed per token: $1 / 1M input tokens, $0.05 / 1M cached input tokens and $5 / 1M output tokens. Cache writes cost $1.25 / 1M tokens. Reasoning tokens are billed as output. Prompts above 272,000 tokens are billed at $2 input and $7.5 output per 1M tokens.

Use cases

Analyze complex images to extract insights and perform visual reasoning.

Automate computer use tasks by leveraging parallel tool calling.

Generate natural writing based on large documents or image data.

Produce structured output for data processing and integration workflows.

GPT-6.1 Terra vs other models

ModelInputOutputContextBest for
GPT-6.1 Terra
This page
$1 / 1M tokens
$5 / 1M tokens
1.05M tokens
Visual reasoning and complex tool-based workflows.
$2 / 1M tokens
$10 / 1M tokens
1M tokens
Complex coding and agentic work
$2 / 1M tokens
$10 / 1M tokens
1M tokens
Everyday coding and agents
$0.7935 / 1M tokens
$4.761 / 1M tokens
400K tokens
Cost-sensitive workloads on auto-update
$1.3225 / 1M tokens
$4.4965 / 1M tokens
1M tokens
Agentic coding and codebase tasks

Frequently asked questions

GPT-6.1 Terra costs $1 / 1M tokens for input and $5 / 1M tokens for output on AI/ML API. Cached input is billed at $0.05 / 1M tokens.

The model supports both text and image inputs.

The model features a 1.05M-token context window.

Yes, it supports parallel tool calls using the Responses API.

The model supports a maximum output of 128,000 tokens.

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