Zro
Private OpenAI-compatible inference for coding agents and long-context workloads.
Quick answer
Zro — Private OpenAI-compatible inference for coding agents and long-context workloads. It's paid. Best for building AI coding agents that require privacy guarantees and long-context model support.
Zro is a private, OpenAI-compatible inference API built by MoonMath that gives developers access to powerful open-weight models including MiniMax M3, GLM-5.2, and Kimi K2.7 Code, with zero data retention by default. It is designed specifically for developers and engineering teams who need to build coding agents, long-context AI applications, or privacy-sensitive tools without the overhead of self-hosting. What sets Zro apart from general-purpose inference platforms is its strong privacy stance: no request data is retained after inference completes, and customer prompts are never used for model training. Multi-region hosted infrastructure ensures low latency for demanding workloads, while an optional on-premises deployment path gives enterprises full control over their data environment. Developers who have previously relied on platforms like Together AI will find Zro a compelling alternative, especially when compliance requirements or data residency constraints make zero-retention guarantees non-negotiable. Note that Zro by MoonMath is an AI inference product and is entirely unrelated to the ZRO cryptocurrency governance token.
Key features
- OpenAI-compatible API supporting open-weight models like MiniMax M3, GLM-5.2, and Kimi K2.7 Code
- Zero data retention by default with no training on customer prompts
- Multi-region hosted inference optimized for coding agents and long-context tasks
- Optional on-premises deployment for teams with strict data residency requirements
Pros & cons
- +Strong privacy guarantees with zero request retention and no prompt training
- +OpenAI-compatible API makes it easy to migrate existing applications with minimal code changes
- +Supports modern open-weight models optimized for coding and long-context tasks
- −No free tier available, making it harder to evaluate before committing spend
- −Usage packs expire after 90 days, which may not suit teams with unpredictable or infrequent usage patterns
Pricing
No free tier; usage packs available without subscription
$20/mo (includes $60 inference spend)
On-prem deployment available, contact for pricing
Who is it for
- →Building AI coding agents that require privacy guarantees and long-context model support
- →Developing long-context document processing or summarization tools without self-hosting infrastructure
- →Replacing shared inference platforms in compliance-sensitive enterprise environments
Frequently asked questions
Is Zro free?
No, Zro does not offer a free tier. Developers can purchase usage packs without a subscription, but all usage requires payment. Usage packs expire 90 days after purchase.
What is Zro best used for?
Zro is best used for building AI coding agents and long-context applications where privacy is critical. It is ideal for developers who need access to open-weight models like Kimi K2.7 Code without sending data to a platform that retains or trains on it.
What are the best alternatives to Zro?
The closest alternatives to Zro are Together AI, Fireworks AI, and Groq, all of which offer hosted inference for open-weight models. For teams requiring on-premises inference, options like Ollama or vLLM self-hosted deployments are also worth considering.
Is Zro safe to use?
Yes, Zro is designed with safety and privacy as core principles. It enforces zero data retention by default, meaning requests are not logged or stored after inference. Customer prompts are never used for model training, and on-premises deployment is available for teams needing complete data control.
How much does Zro cost?
Zro starts at $20 per month, which includes $60 of inference spend. Usage packs are also available without a subscription for teams that prefer pay-as-you-go access, though these packs expire after 90 days. Enterprise on-premises pricing is available on request.
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