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ZGo Gateway is an OpenAI-compatible API gateway: 16 models from eight vendors behind one endpoint and one key.
Drop-in compatible. Point base_url at https://zgoapi.cc/v1 and keep your OpenAI SDK. /v1/chat/completions, /v1/messages (Anthropic format) and /v1/responses are served by the same account and the same bill.
What's on the shelf. DeepSeek V4, V4 Pro and V4.1 Flash; Kimi K3 and K3.1 Pro; GLM 5.2, 5.3 and 5.3 Flash; MiniMax M3, M3.1 Flash and Space Bunny; Tencent Hunyuan 3 and 4; Step-5 Preview; MiMo V2.6 Pro; Gemini 4 Argon.
Not just another reseller. Each provider is reachable over multiple upstream lines, and failover happens inside a single request. Connection-level failures (Cloudflare 52x, DNS, TCP) retry on another line immediately. A line that keeps failing is cooled down with exponential backoff (60s to 300s), capped at 40% of the pool, so one bad upstream never takes the whole shelf offline. Model-level errors (4xx/5xx from the vendor itself) are deliberately not retried - switching domains does not fix a broken model.
Public per-token pricing. No subscription, no minimum, no monthly commitment. The input and output price per 1M tokens for every model is on the pricing page before you sign up. 1 credit = $0.001.
Free tier. 500 credits ($0.50) on signup, valid for 7 days, plus 40 credits per day afterwards. No credit card required.
Streaming, tool calling and long context work on the models that support them. Model docs and capability notes: https://zgoapi.cc/#/model-docs
Listed in
Multi-line failover
Every provider is reachable over several upstream lines; connection-level failures retry on another line inside the same request.
OpenAI-compatible
Change base_url to https://zgoapi.cc/v1 and keep the OpenAI SDK - no code rewrite.
Anthropic and Responses API
The same account serves /v1/chat/completions, /v1/messages and /v1/responses on one bill.
Most multi-model APIs are a list of providers behind one key. ZGo Gateway adds a routing layer that survives upstream failure: each provider is reachable over several upstream lines, and when a line breaks at the connection level - Cloudflare 52x, DNS, TCP - the same request is retried on another line instead of waiting for a timeout. A line that keeps failing is cooled down with exponential backoff, capped at 40% of its pool, so one bad upstream never empties the shelf. Pricing is public per token, and purchased credit packs do not expire.
Not because of price. Three practical reasons. Continuity: a request that would have failed on a single upstream generally still succeeds, because failover happens inside the call. A predictable bill: every model shows its input and output price per 1M tokens before signup, 1 credit is $0.001, there is no auto-renewal and no minimum spend. A one-line migration: change base_url and keep the OpenAI SDK, or keep Anthropic's /v1/messages format. If you mainly run DeepSeek, Kimi, GLM, MiniMax or Hunyuan, the shelf is already the one you need.
Independent developers and small product teams who build on Chinese and other Asian models - DeepSeek, Kimi, GLM, MiniMax, Tencent Hunyuan - and want one endpoint, one key and one bill instead of five accounts. Also teams that already use the OpenAI SDK and want a second provider without rewriting their code, and people comparing several models side by side before committing. Pricing is per token, so it also suits side projects that only need a few dollars of usage a month.
It started as a fix for an annoyance rather than a business plan. Prototypes kept breaking for reasons that had nothing to do with the model: the endpoint in front of it would go down, return a 52x from a CDN, or drop the connection mid-stream. Adding a second provider meant a second SDK, a second key and a second invoice. So the gateway was written to do the boring part - pick a line, retry on another one when the transport fails, keep one account and one bill. Once it was stable for our own work, it made sense to open it to others.
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