GPT-6.1 Terra is the faster, cheaper model in OpenAI's GPT-6.1 series, aimed at writing and visual reasoning. It takes text and images, has a 1,050,000-token context and six reasoning_effort levels (default medium). It supports JSON schema output. Per token it costs less than GPT-6.1 Sol.
Billing note: according to the docs, max_completion_tokens is currently not enforced on this model (a 40-token cap returned about 480 tokens). Control length in the prompt and with a lower reasoning_effort.
Best for
- Marketing copy, emails and product descriptions in bulk
- Describing and analysing photos, screenshots and scanned documents
- Assistants and chats where speed matters
- First drafts that a stronger model polishes later
How to call it
from openai import OpenAI
client = OpenAI(base_url="https://jantaris.com/v1", api_key="sk-jt-...")
resp = client.chat.completions.create(
model="gpt-6.1-terra",
reasoning_effort="low",
messages=[{"role": "user", "content": "Write three short variants of this product description, max 40 words each."}],
)
print(resp.choices[0].message.content)FAQ
What is the GPT-6.1 Terra API price?
$1.01 / $5.06 per 1M tokens. Prompts over 272K input tokens are billed at the long-context rate.
Can I cap the answer length?
max_completion_tokens is currently ignored upstream. State the limit in the prompt (e.g. "max 100 words") and set reasoning_effort to low.
Terra or Sol?
Terra for fast writing and image tasks, GPT-6.1 Sol for hard code and long analysis.
How to call GPT-6.1 Terra via API
from openai import OpenAI
client = OpenAI(base_url="https://jantaris.com/v1", api_key="sk-jt-...")
resp = client.chat.completions.create(
model="gpt-6.1-terra",
messages=[{"role": "user", "content": "Write a haiku about Baltic amber."}],
)
print(resp.choices[0].message.content)curl https://jantaris.com/v1/chat/completions \
-H "Authorization: Bearer $JANTARIS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "gpt-6.1-terra", "messages": [{"role": "user", "content": "Write a haiku about Baltic amber."}]}'import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://jantaris.com/v1", apiKey: process.env.JANTARIS_API_KEY });
const resp = await client.chat.completions.create({
model: "gpt-6.1-terra",
messages: [{ role: "user", content: "Write a haiku about Baltic amber." }],
});
console.log(resp.choices[0].message.content);

























