If you’re building anything with LLMs right now, you probably know the pain. You’ve got OpenAI keys, Anthropic keys, Google keys, maybe DeepSeek too — and suddenly you’re managing a mess of API endpoints, juggling rate limits, and praying that one provider doesn’t go down at 2 AM on a Friday. That’s exactly the problem [ZenMux](https://zenmux.ai/) is trying to solve, and based on its [Product Hunt launch](https://www.producthunt.com/posts/zenmux) pulling in 386 upvotes and landing the #1 spot on Feb 14, it seems like a lot of people feel that pain too.

So what is it? ZenMux is an enterprise LLM gateway — one API key, one endpoint, and you get access to over 200 models from all the major providers. Claude Opus 4.6, GPT-5.2 Pro, Gemini 3 Pro, DeepSeek R2, Grok-4 — they’re all there. The neat part is the auto-routing: you fire off a prompt, and ZenMux figures out which model gives you the best result for the lowest cost based on the task complexity. It also handles failover automatically, so if one provider hiccups, your request gets rerouted to an equivalent model from another provider in milliseconds.

What really caught my eye, though, is the insurance thing. ZenMux actually offers what they call “LLM Insurance” — if a model hallucinates, if latency spikes past a threshold, or if throughput drops, they compensate you with credits. I’ve never seen another API gateway do that. It’s a bold move, and it signals that they’re serious about production reliability, not just being another proxy layer.

The [documentation](https://docs.zenmux.ai/about/intro.html) is solid, and they’ve got a [GitHub org](https://github.com/ZenMux/) with cookbooks and integration examples for tools like Dify, Cherry Studio, and Cline. Pricing starts with a free tier, then goes $20/month for Pro, $100 for Max (which adds full insurance coverage), and $400 for Ultra with enterprise SLAs. Per-token costs stay competitive with going directly to providers, which is what you’d hope for.

Is it for everyone? Probably not if you’re just tinkering with a single model on a weekend project. But if your team is running multiple models in production and you’re tired of duct-taping provider SDKs together, ZenMux looks like a genuinely useful piece of infrastructure. The fact that it’s fully compatible with both OpenAI and Anthropic SDK standards means you can swap it in without rewriting your codebase — and that alone might be worth the try.