OpenAIactive

Terra

meldport/gpt-5.6-terra

Terra through the Meldport API for production AI workloads.

MODEL OVERVIEW

About OpenAI Terra

Terra is a verified model available through Meldport. It uses a stable public alias, reviewed capability metadata, and an explicit customer price. Meldport selects a healthy provider for the alias and records the observed cost boundary for reconciliation and usage accounting.

GOOD FIT FOR

Text generation, extraction, and automation
Image-aware prompts and visual analysis
Tool calling and agent workflows

BEFORE YOU SHIP

Check capabilities, context limit, and price against your workload.
Test tool call parsing and error handling before production.
Verify image input size and format limits for your use case.

TECHNICAL SPECIFICATIONS

What this model supports

Model ID	`meldport/gpt-5.6-terra`
Publisher	OpenAI
Capabilities	Text, Vision, Cache, Tools
Context window	272K
Lifecycle	active
Verified	Nov 1, 2026

CURRENT RATES

Pricing

Metric	Rate	Unit
Input	$0.6	per million tokens
Output	$3.6	per million tokens
Provider-reported cached input	$0.06	per million tokens
Minimum charge	$0.00001	per request

Provider-reported cached input tokens use the displayed rate. Every request is recorded in the wallet ledger.

QUICKSTART

Call this model

The same endpoint works from any language.

Send POST /v1/chat/completions with an API key that has inference:invoke. Use meldport/gpt-5.6-terra in the model field. Supply your conversation in messages and set stream: true for streamed output. The published context limit is 272K tokens.

This model publishes tool calling. Send function definitions in tools and return tool results in the conversation. Vision inputs are listed for this model. Request fields and output limits · Streaming format · Errors and retry rules

curl https://api.meldport.com/v1/chat/completions \
  -H "Authorization: Bearer $MELDPORT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meldport/gpt-5.6-terra",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

import os
import requests

response = requests.post(
    "https://api.meldport.com/v1/chat/completions",
    headers={
        "Authorization": f"Bearer {os.environ['MELDPORT_API_KEY']}",
    },
    json={
        "model": "meldport/gpt-5.6-terra",
        "messages": [{"role": "user", "content": "Hello"}],
    },
)
print(response.json())

const response = await fetch(
  "https://api.meldport.com/v1/chat/completions",
  {
    method: "POST",
    headers: {
      Authorization: "Bearer " + process.env.MELDPORT_API_KEY,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      model: "meldport/gpt-5.6-terra",
      messages: [{ role: "user", content: "Hello" }],
    }),
  },
);
console.log(await response.json());

COMMON QUESTIONS

Frequently asked questions

What is the API model ID for Terra?

Use meldport/gpt-5.6-terra in the model field of your API request.

Which capabilities does Terra support?

This model currently publishes Text, Vision, Cache, Tools support through Meldport.

How is Terra priced?

Requests are billed per token. Input costs $0.6 per million tokens and output costs $3.6 per million tokens. Provider-reported cached input tokens cost $0.06 per million tokens; Meldport response caching is bypassed. A minimum charge of $0.00001 applies per request. Charges are deducted from your wallet balance in real time.

Which endpoint runs Terra?

Send a request to POST https://api.meldport.com/v1/chat/completions with your Meldport API key and use meldport/gpt-5.6-terra in the model field.

What context window does Terra support?

The published context limit is 272K tokens.