I’ve been experimenting with a lot of different LLMs lately, and I kept running into the same friction point: every provider structures their API docs differently, and it’s surprisingly hard to find the basic config details quickly (base URLs, model IDs, context limits, etc.).
To make my own workflow easier, I started collecting this info in one place and turned it into a small reference site:
It’s meant to be a simple central hub for model configuration data. In cases where the official docs were unclear or incorrect, I verified the values through experiments — but the main goal is to have all the core config info in one easy place.
If you spot anything missing or inaccurate, there’s a feedback link on the site that opens a GitHub issue. Feedback and contributions are very welcome.
I’ve been experimenting with a lot of different LLMs lately, and I kept running into the same friction point: every provider structures their API docs differently, and it’s surprisingly hard to find the basic config details quickly (base URLs, model IDs, context limits, etc.).
To make my own workflow easier, I started collecting this info in one place and turned it into a small reference site:
https://www.model-api.info/
It’s meant to be a simple central hub for model configuration data. In cases where the official docs were unclear or incorrect, I verified the values through experiments — but the main goal is to have all the core config info in one easy place.
If you spot anything missing or inaccurate, there’s a feedback link on the site that opens a GitHub issue. Feedback and contributions are very welcome.