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OpenAI-compatible multi-model API for GPT, Claude, Gemini, DeepSeek and more.

Which is more popular?
Based on our record, Hetzner seems to be more popular. It has been mentioned 37 times since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | hetzner.cloud | mandapi.com |
| Pricing | — | |
| Company | Startup from Germany | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Hetzner yet.
MandAPI is an OpenAI-compatible multi-model AI API gateway for developers. It provides unified access to GPT, Claude, Gemini, DeepSeek and other AI model families through a single API endpoint. Key features include: - OpenAI-compatible API - Multiple AI model providers - Streaming and...
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of MandAPI yet.
Walkthroughs and reviews on video.
Hetzner Review after 1 Day with FOI Auto Tuner
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Hetzner and MandAPI.
MandAPI's answer:
MandAPI is primarily built for software developers, indie hackers, AI startups, SaaS teams, agencies and technical teams that need programmatic access to multiple large language models through a unified API.
MandAPI's answer:
MandAPI combines multiple AI model families behind a single OpenAI-compatible API. Developers can access GPT, Claude, Gemini, DeepSeek and other models without maintaining separate integrations for every provider. It also provides transparent usage-based pricing, model discovery, usage tracking and developer tooling.
MandAPI's answer:
MandAPI is designed for developers who want a simple way to use multiple AI providers through one familiar API. Its OpenAI-compatible interface makes migration straightforward, while unified billing, model discovery, transparent pricing and support for multiple model families reduce the operational work required to manage several AI APIs separately.
MandAPI's answer:
MandAPI started from a simple problem: developers increasingly need access to several AI model providers, but every provider has different APIs, pricing systems and account requirements. MandAPI was built to simplify that fragmented experience by providing a single OpenAI-compatible interface for multiple model families, with transparent pricing and developer-focused tooling.
MandAPI's answer:
MandAPI is built around an OpenAI-compatible REST API architecture with streaming support, API-key authentication, multi-provider routing, usage metering and model catalog services. The production platform uses containerized cloud infrastructure, reverse proxying and CDN services for deployment and traffic delivery.
Share your experience with using Hetzner and MandAPI. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Hetzner’s dashboard and interface are speedy and user-friendly, which makes them a perfect fit for professionals. They let you deploy servers in 3 different server locations including the US, Germany, and Finland....
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Recommendations tracked on public social media and blogs since March 2021.


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Big thanks to the AWS docs team, the Kamal maintainers, and Hetzner for keeping hosting affordable. Hope this saves you the same headaches I ran into. Now back to building. - Source: dev.to / 6 months ago
Sure, if you still want it: https://hetzner.cloud/?ref=WwByfoEfJJdv I guess it gives you 20 euros in credit, too. That's nice. - Source: Hacker News / over 1 year ago
Tracking MandAPI since Oct 2026.
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