Works with your coding agent
Claude Codemodel: zro/auto
npm install -g @moonmath-ai/zrozro loginzro launch claude --model zro/auto
from openai import OpenAI client = OpenAI(base_url="https://zro.moonmath.ai/v1", api_key="YOUR_ZRO_API_KEY")reply = client.chat.completions.create(    model="auto",    messages=[{"role": "user", "content": "Hello"}],)print(reply.choices[0].message.content)
import OpenAI from "openai"; const client = new OpenAI({ baseURL: "https://zro.moonmath.ai/v1", apiKey: "YOUR_ZRO_API_KEY" });const reply = await client.chat.completions.create({  model: "auto",  messages: [{ role: "user", content: "Hello" }],});console.log(reply.choices[0].message.content);
Try it$5
Pro$20/mo
Max$60/mo
See pricing

Built on our own serving stack

The speed comes from our own attention kernels and serving code. Every optimization we build is open-sourced and shared with the community through SGLang, vLLM, and AITER.

  1. Agent layer · Works with

    Claude Code, Codex, Cursor, Cline, Opencode, Hermes

  2. API layer

    Completions and Anthropic Messages

  3. Privacy layer

    Multi-region inference with zero request retention

    How we handle data
  4. Kernel layer

    Custom attention and serving kernels for model-specific throughput

    Upstreamed to SGLang, vLLM, and AITER.

  5. Hardware layer · Runs on

    AMD, NVIDIA, and Google TPU deployment paths

Performance

Real numbers from the live endpoint.

ModelSpeed tok/sFirst token secCache hits
DeepSeek V4.1 Flash2200.5296%
GLM-5.31250.7098%
GLM-5.3 Flash2360.3695%
1.0× faster, shippedGLM-5.3 Flash · 4× TPUv7 · total throughput
775tokens/sec
See measured model performance

Developers on Zro

“The speed improvements on GLM 5.2 are noticeable right away, and it's already become part of my workflow. Great product.”
“Latency felt noticeably snappier than what I usually get from other inference providers, and I love that nothing gets stored.”
“I've been using Zro for about a month, it's great! Very fast and reliable.”
“The API speed of response is really fast. Been used for a while and very satisfied by the quality of the API.”
“I am using GLM 5.2 through Zro in my daily workflow for a while now. The speed and quality have been impressive so far.”
“Fastest API I have ever used so far.”

Questions, answered

What Zro is, how to connect, and what happens to your data. Read the docs for the full reference.

Zro is a private inference endpoint for coding agents. It serves open coding models across multiple regions, with zero request retention, no training on customer data, and setup paths for the tools developers already use.

Yes. Zro exposes OpenAI-compatible access for chat completions, so existing clients and agent tools can point at the Zro base URL.

Yes. Zro also supports Anthropic-compatible Messages requests at /v1/messages for tools that expect that API shape.

Use the @moonmath-ai/zro npm package for launch-supported tools: run zro login once, then launch your harness with zro launch. The integrations docs also cover manual setup for Cursor and Cline.

No. Prompt and completion bodies are never retained after inference is processed.

Yes. Zro is built for responsive, streaming inference, so developer tools, agents, and production apps do not have to trade speed for privacy.

GLM-5.3 Flash, DeepSeek V4.1 Flash, GLM-5.3, and Dolly 1 Security are available now. Availability is shown for each region when you create an API key.

No. Customer prompts and completions are never used for training, fine-tuning, evaluations, analytics, or dataset creation.

Zro runs on privacy-forward multi-region infrastructure, with zero request retention.

Plans start at $20/month for $60 of inference spend. Usage packs are available without a subscription and expire after 90 days. Plan spend resets monthly.

Start with $5

No subscription needed. Or take Pro at $20/month for $60 of usage.

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