GPT-6.1 Terra is OpenAI's fast, efficient model for visual reasoning, precise computer use, and clear, natural writing. Use it to match product photos to catalog entries, interpret technical drawings, act on application screens, or draft and revise text. Tool calling requires the Responses API.
GPT-6.1 Terra (openai/gpt-6.1-terra) is a text model from OpenAI, released 2026-10-27. Context window: 1,050,000 tokens; max output 128,000. Pricing via AIgateway: input $1.00/M tokens, output $5.00/M tokens. Capabilities: tools, streaming, vision, json, reasoning. Call it via https://api.aigateway.sh/v1/chat/completions with the OpenAI SDK — set model="openai/gpt-6.1-terra".
curl https://api.aigateway.sh/v1/chat/completions \
-H "Authorization: Bearer $AIGATEWAY_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openai/gpt-6.1-terra","messages":[{"role":"user","content":"hello"}],"stream":true}'{
"model": "openai/gpt-6.1-terra",
"messages": [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": "Hello!" }
],
"temperature": 0.7,
"top_p": 0.95,
"max_tokens": 1024,
"stream": false,
"tools": [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get current weather for a city",
"parameters": {
"type": "object",
"properties": {
"city": { "type": "string" }
},
"required": ["city"]
}
}
}
],
"tool_choice": "auto",
"parallel_tool_calls": true,
"response_format": { "type": "json_object" }
// For vision: messages[].content can be an array of
// { type: "text", text: "..." } and
// { type: "image_url", image_url: { url: "https://..." } }
}{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"created": 1776947082,
"model": "openai/gpt-6.1-terra",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! How can I help you today?",
"tool_calls": [
{
"id": "call_abc123",
"type": "function",
"function": {
"name": "get_weather",
"arguments": "{\"city\":\"Tokyo\"}"
}
}
]
},
"finish_reason": "stop" // or "tool_calls" when calling a function
}
],
"usage": {
"prompt_tokens": 24,
"completion_tokens": 12,
"total_tokens": 36
}
}"stream": true// 1. Role announcement (first chunk):
data: {"choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null}]}
// 2. Content chunks (final answer):
data: {"choices":[{"index":0,"delta":{"content":"Hello"},"finish_reason":null}]}
data: {"choices":[{"index":0,"delta":{"content":"!"},"finish_reason":null}]}
// Tool-call chunks (when the assistant calls a function):
data: {"choices":[{"index":0,"delta":{"tool_calls":[
{"index":0,"id":"call_abc","type":"function",
"function":{"name":"get_weather","arguments":""}}]},"finish_reason":null}]}
data: {"choices":[{"index":0,"delta":{"tool_calls":[
{"index":0,"function":{"arguments":"{\"city\":"}}]},"finish_reason":null}]}
data: {"choices":[{"index":0,"delta":{"tool_calls":[
{"index":0,"function":{"arguments":"\"Tokyo\"}"}}]},"finish_reason":null}]}
// Concat arguments fragments by index → {"city":"Tokyo"}
// Finish chunk:
data: {"choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}
// Terminator:
data: [DONE]# pip install aigateway-py openai
# aigateway-py adds sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK covers chat — drop-in per our SDK's own guidance.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
stream = client.chat.completions.create(
model="openai/gpt-6.1-terra",
messages=[{"role": "user", "content": "Hello!"}],
stream=True,
)
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="", flush=True)