Call Global AI: OpenAI, Claude, and Gemini Formats

Global AI exposes an OpenAI-compatible API and also supports the native Claude and Gemini formats. Use the platform address as base_url and your token as api_key to start calling.

Playground online testing

The playground is a built-in test tool that lets you chat with any model without writing code. It is a quick way to verify tokens and models.

Open the playground

Click Playground in the left sidebar, or go directly to https://globalai.vip/playground.

Choose a model

Pick the model to test from the selector in the lower right of the page.

Send a message

Type a message and hit send. The reply appears in the conversation area on the right.

Playground calls consume quota just like code calls, and they are recorded in Logs so you can compare with production usage.

Get the API address

Copy the base URL

Visit the home page, find the API base URL area in the middle of the page, and click the copy button. Example: https://globalai.vip/v1.

Paste into your client

Use the copied address as base_url in your client or code, together with the token key, to start calling.

base_url is https://globalai.vip/v1

Code examples

Python (OpenAI SDK)

app.py

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxx",              # Token issued by the platform
    base_url="https://globalai.vip/v1",
)

response = client.chat.completions.create(
    model="gpt-5.6-sol",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Streaming output

stream.py

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxx",
    base_url="https://globalai.vip/v1",
)

stream = client.chat.completions.create(
    model="gpt-5.6-sol",
    messages=[{"role": "user", "content": "Introduce quantum computing in one sentence"}],
    stream=True,
)
for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

JavaScript / Node.js

app.js

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-xxxxxxxx",
  baseURL: "https://globalai.vip/v1",
});

const response = await client.chat.completions.create({
  model: "gpt-5.6-sol",
  messages: [{ role: "user", content: "Hello" }],
});

console.log(response.choices[0].message.content);

Shell / curl

chat.sh

curl https://globalai.vip/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxxxxxxx" \
  -d '{
    "model": "gpt-5.6-sol",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Native Claude format

Claude

curl https://globalai.vip/v1/messages \
  -H "x-api-key: sk-xxxxxxxx" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-sonnet-5",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Native Gemini format

Gemini

curl "https://globalai.vip/v1beta/models/gemini-3.7-flash:generateContent?key=sk-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{"parts": [{"text": "Hello"}]}]
  }'

Supported endpoints

Global AI is compatible with the most common OpenAI ecosystem endpoints. Trust the Pricing page in the console as the source of truth for which models are available.

Endpoint	Path	Description
Chat completions	`POST /v1/chat/completions`	Conversation generation with streaming support
Text completions	`POST /v1/completions`	Legacy completion endpoint
Embeddings	`POST /v1/embeddings`	Text vectorization
Image generation	`POST /v1/images/generations`	Text to image
Image editing	`POST /v1/images/edits`	Image editing
Speech to text	`POST /v1/audio/transcriptions`	Whisper and similar
Text to speech	`POST /v1/audio/speech`	TTS
Rerank	`POST /v1/rerank`	Document reranking
Responses API	`POST /v1/responses`	OpenAI Responses format
Realtime	`GET /v1/realtime` (WebSocket)	OpenAI Realtime API
Claude messages	`POST /v1/messages`	Anthropic native format
Gemini generate	`POST /v1beta/models/{model}:generateContent`	Google native format
Model list	`GET /v1/models`	Query available models

Global AI also exposes a balance query endpoint for automation scripts and third-party dashboards.

Balance query

curl -X GET "https://globalai.vip/api/user/self" \
  -H "new-api-user: [your user ID, the small number next to your username on the profile page]" \
  -H "Authorization: Bearer [obtain from Profile > Security > Access token]" \
  -H "Accept: */*" \
  -H "Host: globalai.vip" \
  -H "Connection: keep-alive"

In the returned JSON, quota / 500000 is the current remaining balance.

Common errors

401 Unauthorized / invalid api key

Verify the token key is correct, not expired, and not deleted. Check the token status in Token management.

403 Forbidden / model not allowed

The token has a model restriction or IP allowlist that the current request violates. Edit the token to adjust the settings, or switch to a permitted model or network.

Insufficient balance

The account or token has run out of quota. Top up on Quota and top-up, or raise the token’s quota cap.

429 Too Many Requests

You hit the platform rate limit. Wait a moment and retry, or reduce concurrency.

Get Started

Account & Security

Call AI Models

Quota & Billing

Call Global AI: OpenAI, Claude, and Gemini Formats

Playground online testing

Get the API address

Code examples

Python (OpenAI SDK)

Streaming output

JavaScript / Node.js

Shell / curl

Native Claude format

Native Gemini format

Supported endpoints

Common errors

​Playground online testing

​Get the API address

​Code examples

​Python (OpenAI SDK)

​Streaming output

​JavaScript / Node.js

​Shell / curl

​Native Claude format

​Native Gemini format

​Supported endpoints

​Common errors

Playground online testing

Get the API address

Code examples

Python (OpenAI SDK)

Streaming output

JavaScript / Node.js

Shell / curl

Native Claude format

Native Gemini format

Supported endpoints

Common errors