Groq vs OpenRouter
Two sides of the LLM API decision: open models, hosted and gateway (many providers, one API). When each fits, what it costs, who moves from one to the other, and what makers who chose it say.
Which fits you
- Token cost dominates your budget, for example high-volume batch or agent workloads
Use it whenResponse speed matters more than having the most capable model, as in voice or autocomplete.
Trade-offOnly the open models it chooses to host, and no frontier closed models.
- You want to try or mix many models with one key and one bill, and fall back when a provider is down
Use it whenYou want to compare models quickly or offer users a model picker.
Trade-offA fee on top of provider prices, and your traffic and data pass through a third party.
At a glance
| Used by | 39 makers' products · 62 open-source projects | 61 makers' products · 31 open-source projects |
|---|---|---|
| Cost at default usageinput tokens 50 million tokens, output tokens 10 million tokens | $6.75/mo GPT OSS 20B | — |
| Downloads | 1.8M/wk3.9× vs npm | 2.1M/wk4.8× vs npm |
| Pricing | Free tier with rate limits; pay per token. · paid from Pay per token | Pay per token at provider prices plus a 5.5% fee on credits; 25+ free models with daily rate limits. · paid from Pay per token + 5.5% fee on credits |
| Free tier | Yes | Yes |
| Open source | No | No |
What makers say
Makers on using it for LLM API, from Product Hunt and Starter Story interviews, each linked to the source. Products with a page of their own and fuller notes first.
Shoutout to Groq — the lightning fast inference engine running Voicr's AI under the hood. Without Groq's speed, that under 3 seconds promise wouldn't be possible.
We love using Groq hosting and models. They are a core part of our chat and widget agents. The models are lightning fast and the Groq team is fantastic.
Groq powers our RAG sandbox with their lightning fast inference APIs and the team there is helpful and amazing to work with.
Talespinner uses OpenRouter to allow for switching between different language models. They make it super easy to do this, because they offer one API format for all language models.
OpenRouter made it seamless to integrate multiple LLMs with unified APIs. It played a key role in enabling flexible model orchestration and reliable responses in Codentis.
Big thanks to OpenRouter — it lets us route every AI generation to the right model effortlessly, which is what makes our AI email builder feel instant and smart.
Loved and watch-outs
Themes that recur in makers' words and Hacker News comments, each linked to what it summarises.

