OpenCode + LLM to create a 1:1 Settlers of Catan clone. Guess which model I did it with!

Hey all!

I've been waiting to make this post until I was completely done with the game so I can have a live preview, but this weekend is going to be pretty busy for me and I'm getting antsy to share what I've been working on with you!

I've been working on a 1:1 recreation of my favorite board game, Settlers of Catan. I challenged myself to do this with OpenCode and a local AI model.

I'm lucky to have an AI machine with two 2 RTX 3090's (used to be 3, RIP the last card), 1 P40, and 128GB of DDR4 memory. For the longest time I've played with local models and used them for day to day tasks, but never had much luck vibe coding with them and getting quality results that were worth the hassle.

Over the last few months though, this changed. Below I have listed five models that I've ran on my machine and successfully done some vibe coding with via OpenCode, and I used ONLY ONE OF THEM to create this 1:1 recreation of Settlers of Catan, all in just two days. The only work it didn't do was downloading and/or scanning the real life textures of the tiles.

The game is completely functional, it has multiplayer functionality via "rooms"' and is the full experience. Chat, trading, special conditions like Longest Road and Largest Army, all are there! The only inaccuracy I know of so far is the ability to see other's exact hands. Typically in a Catan game people keep their hands private.

So, as I mentioned. I used exactly ONE model with opencode for this project. The only thing I provided the model with was a PDF of the game manual (converted to text) and also the official Catan Q&A. I believe it asked a question or two during the planning phase, but I genuinely didn't give it much to work with. I was really surprised to see how well it understood the logic, even the nitty gritty rules.

I would like you guys to guess which model I used, and I'll reveal it sometime next week alongside the live demo of the game.

Here are your choices:

Qwen 3.6 27B - Q8

Gemma 4 31B - Q8

Qwen 3.5 122B - Q8

GPT OSS 120B - Q8

MiniMax M2.7 229B - UD Q4_K

Comment what model you think did it! Also feel free to ask any questions.