LLM Skirmish – a benchmark where LLMs play RTS games, by writing code
I wanted to create an LLM game benchmark that put this generation of frontier LLMs' top skill, coding, on full display. Ten years ago, a team released a game called Screeps. It was described as an "MMO RTS sandbox for programmers." In Screeps, human players write javascript strategies that get executed in the game's environment. The Screeps paradigm, writing code and having it execute in a real-time game environment, is well suited for an LLM benchmark. Drawing on a version of the Screeps open source API, LLM Skirmish pits LLMs head-to-head in a series of 1v1 real-time strategy games.
Does the same job
all alternatives →- ARA real-time strategy game that AI agents can playFeb 2026 · llmskirmish.com · ▲220
I've liked all the projects that put LLMs into game environments. It's been a weird juxtaposition, though: frontier LLMs can one-shot full coding projects, and those same models struggle to get out of Pokémon Red's Mt. Moon. Because of this, I wanted to create a game environment that put this generation of frontier LLMs' top skill, coding, on full display. Ten years ago, a team released a game called Screeps. It was described as an "MMO RTS sandbox for programmers." The Screeps paradigm of writing code and having it executed in a real-time game environment is well suited to LLMs. Drawing on…
- IMI made a browser-based RTS game2022 · battle-of-flags.com · ▲212
I've posted this game here before, hopefully a repost is fine as the game has changed quite a bit (improved AI, improved mapeditor, much quicker gameplay, etc). Game is based on JavaScript/Canvas and WebSockets. On the browser side the map is pre-rendered (as a background image), just the mobile units/buildings and animations are dynamically rendered. The lobby server is made in node.js, but the game server is C++ for performance reasons (mainly the pathfinding). I found the C++ WebSocket libraries out there to be too difficult to use so I made my own based on the rfc. Overall I…
- LLLocalScore – Local LLM Benchmark2025 · localscore.ai · ▲124
Hey Folks! I've been building an open source benchmark for measuring local LLM performance on your own hardware. The benchmarking tool is a CLI written on top of Llamafile to allow for portability across different hardware setups and operating systems. The website is a database of results from the benchmark, allowing you to explore the performance of different models and hardware configurations. Please give it a try! Any feedback and contribution is much appreciated. I'd love for this to serve as a helpful resource for the local AI community. For more check out: - Website:…
- FTFind the best local LLM for your hardware, ranked by benchmarksMay 2026 · github.com · ▲283
- ITI taught LLMs to play Magic: The Gathering against each otherFeb 2026 · mage-bench.com · ▲117
I've been teaching LLMs to play Magic: The Gathering recently, via MCP tools hooked up to the open-source XMage codebase. It's still pretty buggy and I think there's significant room for existing models to get better at it via tooling improvements, but it pretty much works today. The ratings for expensive frontier models are artificially low right now because I've been focusing on cheaper models until I work out the bugs, so they don't have a lot of games in the system.
- Gradient BangMay 2026 · gradient-bang.com · ▲173
Massively multi-player game played by talking to an LLM
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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