GPT-6.1 Terra

高效视觉推理、计算机操作和文本模型；支持文本与图像输入、文本输出。

Model ID: gpt-6.1-terra · Type: chat · Provider: OpenAI

Endpoints: /v1/chat/completions · /v1/responses

Pricing

Input (per 1M tokens)$0.65 USD
Output (per 1M tokens)$3.25 USD
Cache read (per 1M tokens)$0.0325 USD
Cache write 5m (per 1M tokens)$0.8125 USD

Context tiers

≤ 272000 tokens$0.65 / 1M in$3.25 / 1M out
> 272000$1.3 / 1M in$4.875 / 1M out
import os

from openai import OpenAI

client = OpenAI(api_key=os.environ["ROUTER_API_KEY"], base_url="https://api.router.ai/v1")
resp = client.chat.completions.create(
    model="gpt-6.1-terra",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

FAQ

How much does GPT-6.1 Terra cost on 370.AI?

GPT-6.1 Terra (`gpt-6.1-terra`) is billed per usage at $0.65/1M in · $3.25/1M out, in USD. Current pricing is always listed at https://370.ai/models/gpt-6.1-terra.

How do I call GPT-6.1 Terra through 370.AI?

Send a request to https://api.router.ai/v1/chat/completions with the header `Authorization: Bearer <your API key>` and `"model": "gpt-6.1-terra"`. The API is OpenAI-compatible, so any OpenAI SDK works by changing base_url to https://api.router.ai/v1 — no other code change.

Which endpoints does GPT-6.1 Terra support?

GPT-6.1 Terra can be called on: /v1/chat/completions; /v1/responses.

What is GPT-6.1 Terra's context window?

GPT-6.1 Terra accepts up to 922,000 input tokens and can return up to 128,000 output tokens. Requests exceeding the input limit are rejected before reaching the model.

What can GPT-6.1 Terra do?

GPT-6.1 Terra supports: vision, function_calling, prompt_caching.

Who makes GPT-6.1 Terra?

GPT-6.1 Terra is a chat model from OpenAI, available through the 370.AI gateway with the same API key as every other model.

Call it through the 370.AI OpenAI-compatible endpoint (API base: https://api.router.ai/v1). AI agents can browse the catalog and call any text model through MCP (https://mcp.router.ai/mcp); for image, video and other modalities use the API above.

Which should you pick

API reference · All models