Stop managing six AI vendor accounts: one key for 109 models

A developer built and operates LiuRun API, an OpenAI-compatible gateway that provides a single API key and endpoint for 109 models across vendors including Claude, GPT, Gemini, DeepSeek and Grok. The service, running on the open-source New API project, requires only a base_url and api_key swap in the existing OpenAI or Anthropic SDK, logs per-request token counts and dollar costs from a published per-model price table, and uses prepaid USD billing with no subscription or minimum.

If your code already uses the OpenAI SDK, a gateway that speaks the OpenAI wire format requires exactly two changes: python from openai import OpenAI client = OpenAI base url="https://api.liurun.click/v1", was "https://api.openai.com/v1" api key="sk-your-liurun-key", was your OpenAI key resp = client.chat.completions.create model="claude-sonnet-5", any of 109 models, same call shape messages= {"role": "user", "content": "Explain WAL in Postgres"} , print resp.choices 0 .message.content That model string is now the only knob between vendors. A fallback chain becomes a list, not a architecture project: MODELS = "claude-sonnet-5", "gpt-5.5", "deepseek-chat" try in order curl https://api.liurun.click/v1/chat/completions \ -H "Authorization: Bearer sk-your-liurun-key" \ -H "Content-Type: application/json" \ -d '{ "model": "gemini-2.5-flash", "messages": {"role": "user", "content": "Say hi in 3 words"} , "stream": true }' Streaming is standard SSE — data: lines, data: DONE sentinel, nothing exotic. The gateway also accepts the Claude-format /v1/messages endpoint. So the Anthropic SDK works with a base URL swap: python import anthropic client = anthropic.Anthropic base url="https://api.liurun.click", api key="sk-your-liurun-key", msg = client.messages.create model="claude-sonnet-5", max tokens=1024, messages= {"role": "user", "content": "Hello, Claude"} , Every request gets logged with its exact token counts and its exact cost. Not "credits" — dollars and cents, computed from a per-model price table that's published in full on a public pricing page: | Model | Input $/1M | Output $/1M | |---|---|---| | Claude Sonnet 5 | 1.45 | 7.27 | | Claude Opus 4.6 | 3.63 | 18.16 | | GPT-5.5 | 2.72 | 16.35 | | Gemini 2.5 Flash | 0.16 | 1.36 | | DeepSeek Chat | 0.36 | 1.45 | | Grok 4.5 | 1.09 | 3.27 | | GPT-6 Luna budget | 0.05 | 0.27 | Prompt-cache reads on Claude models bill at 10% of the input rate — cache-friendly agents stop being a budget gamble. Image models bill per image GPT-Image-2 ≈ $0.051/image . Billing is prepaid: you top up a USD balance from $1 and usage draws it down. No subscription, no seats, no minimum. If you stop liking the service, your remaining balance is the only thing at risk — and there's no contract to cancel. The pattern I use in my own projects now: python def complete messages, , tier="smart", kw : models = { "smart": "claude-sonnet-5", "gpt-5.5" , "cheap": "gemini-2.5-flash", "deepseek-chat" , "budget": "gpt-6-luna" , } tier last = None for m in models: try: return client.chat.completions.create model=m, messages=messages, kw except Exception as e: last = e raise last Same key, same endpoint, model choice becomes a cost/quality dial instead of an integration decision. The gateway runs on New API https://github.com/QuantumNous/new-api , which is open source — if you'd rather keep everything in-house, the two-line migration above works against your own deployment too. I self-host the hosted version on a small AWS instance in Tokyo behind CloudFront; a t4g.small handles it comfortably. Links: Sign up https://api.liurun.click/register · Pricing https://api.liurun.click/pricing · User Agreement https://api.liurun.click/user-agreement Disclosure: I built and operate LiuRun API. The migration pattern above applies to any OpenAI-compatible gateway, self-hosted included.