LLM Reference
OpenAI API

Using GPT-5.6 Terra on OpenAI API

Implementation guide · GPT-5.6 · OpenAI

Serverless

OpenAI API exposes GPT-5.6 Terra through model ID gpt-5.6-terra. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-09. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenAI API and generate an API key.
  2. 2
    Use the OpenAI API SDK or REST API to call gpt-5.6-terra — see the documentation for request format.
  3. 3
    You'll be billed $2.50/1M input, $15.00/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
OPENAI_API_KEY
Model ID
gpt-5.6-terra

Use the model slug directly, e.g. "gpt-4o" or "gpt-4.1-mini".

import os
from openai import OpenAI

client = OpenAI()  # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
    model="gpt-5.6-terra",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on OpenAI API

TypePrice (per 1M)
Input tokens$2.50
Output tokens$15.00

Capabilities

VisionMultimodalReasoningJSON / Tool usePrompt CachingBatch API

About GPT-5.6 Terra

OpenAI's balanced mid-tier GPT-5.6 model. Terra delivers performance competitive with GPT-5.5 at about 2x lower cost, suited for high-volume production workloads such as customer support, document analysis, and internal tooling. Generally available July 9, 2026 across ChatGPT, Codex, and the OpenAI API (model ID gpt-5.6-terra). Supports text and image inputs, reasoning, tool use, prompt caching, and Batch API with a 1,050,000-token context window and 128K max output.

Model Specs

Released2026-07-09
Context1.05m
ArchitectureDecoder Only

Provider

OpenAI API
OpenAI API

OpenAI

San Francisco, California, United States