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GPT-5.6 Terra

everyais/gpt-5-6-terra

GPT-5.6 Terra (everyais/gpt-5-6-terra) availability, capabilities, context limits, and public reference pricing on everyais.

Model family gptInput Text · ImageOutput Text
Available now

Method

The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.

Source and update

GET /models/catalog

Updated

Model type
Chat
Released
2026-06-19
Context window
272K
Price unit
Per 1M tokens
Maximum output
4,096
Model reference price (USD)
Standard (≤272K): Input $2 · Output $12 /1M · Long context (>272K, full request): Input $4 · Output $18 /1M
Cache reference price (USD)
Cache read $0.2 /1M · Cache write $2.5 /1M

Capabilities

  • Vision

Supported endpoints

  • /v1/chat/completions

Usage and availability trend

Daily tokensInputOutput
2K1K02026-09-022026-09-082026-09-02 · Requests 2 · Input 26 · Output 10 · Availability Insufficient sample2026-09-03 · Requests 2 · Input 1,164 · Output 30 · Availability Insufficient sample2026-09-04 · Requests 0 · Input 0 · Output 0 · Availability Insufficient sample2026-09-05 · Requests 0 · Input 0 · Output 0 · Availability Insufficient sample2026-09-06 · Requests 1 · Input 319 · Output 20 · Availability Insufficient sample2026-09-07 · Requests 0 · Input 0 · Output 0 · Availability Insufficient sample2026-09-08 · Requests 10 · Input 664 · Output 335 · Availability Insufficient sample

Last 7 days · 2026-09-08 Input 664 · Output 335 tokens.

Daily availability (success rate %)

Insufficient sample — not enough requests to publish a success rate.

Code example

Use the OpenAI SDK by changing only base_url.

from openai import OpenAI

client = OpenAI(
    api_key="everyais_...",
    base_url="https://api.everyais.com/v1",
)

response = client.chat.completions.create(
    model="everyais/gpt-5-6-terra",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)
Full API docs

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