Every frontier model.
One API.
Up to 98% less. Todos los modelos frontera.
Una sola API.
Hasta 98% menos.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.chatgptpro4all.com/v1",
    api_key="sk-velora-...",
)

# same key, any model: gpt-5.6-sol · claude-opus-5 · gemini-3.8-flash · kimi-k3 · glm-5.3
res = client.chat.completions.create(
    model="gpt-5.6-sol",
    messages=[{"role": "user", "content": "Hello, Velora"}],
)
print(res.choices[0].message.content)

import anthropic

client = anthropic.Anthropic(
    base_url="https://api.chatgptpro4all.com",
    api_key="sk-velora-...",
)

# Claude Code and the official SDK work as-is
msg = client.messages.create(
    model="claude-opus-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello, Velora"}],
)
print(msg.content[0].text)

curl -X POST \
  https://panel.chatgptpro4all.com/v1beta/models/gemini-3.8-flash:generateContent \
  -H "x-goog-api-key: sk-velora-..." \
  -H "Content-Type: application/json" \
  -d '{"contents":[{"parts":[{"text":"Hello, Velora"}]}]}'

# native Gemini format — no adapter, no rewrite

curl https://api.chatgptpro4all.com/v1/chat/completions \
  -H "Authorization: Bearer sk-velora-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k3",
    "messages": [{"role": "user", "content": "Hello, Velora"}]
  }'

# swap "kimi-k3" for glm-5.3, gpt-5.6-sol, claude-opus-5, gemini-3.8-flash…