Dev tools · alternatives · 2026
24 alternatives to TetrisBench – Gemini Flash reaches 66% win rate on Tetris against Opus
Hi HN, I built TetrisBench, a benchmark that tests LLMs on real-time code generation and reasoning through Tetris. Live: https://tetrisbench.com/ *How it works:* Each model starts with an initial optimization function for evaluating Tetris moves. As the game progresses, the model sees the current board state and updates its algorithm—adapting its strategy based on how the game is evolving. The model continuously refines its optimizer: - Board getting too high? Prioritize clearing lines. - Hole forming? Adjust penalties. - Safe stack? Build for a Tetris. The model generates…
TetrisBench is a benchmarking tool that measures AI model performance in Tetris gameplay. It evaluates how well different large language models play the classic block-stacking game, comparing their strategic… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Using SQL's Turing Completeness to Build Tetris. Contribute to nuno-faria/tetris-sql development by creating an account on GitHub.
2024 · github.com · its alternatives →
- 2TB
OFRAK Tetris is a project I started at work about two weeks ago. It's a web-based game that works on desktop and mobile. I made it for my company to bring to events like DEF CON, and to promote our binary analysis and patching framework called OFRAK. In the game, 32-bit, little-endian ARM assembly instructions fall, and you can modify the operands before executing them on a CPU emulator. There are two segments mapped – one for instructions, and one for data (though both have read, write, and execute permissions). Your score is a four byte signed integer stored at the virtual address pointed…
2023 · ofrak.com · its alternatives →
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PHBench▲398Predict the next Series A from a ProductHunt launch
May 2026 · phbench.com · its alternatives →
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A final project for Advanced Machine Learning. Build bots to play against this Tetris Sandbox! - mbrenman/TetrisPlayground
2015 · github.com · its alternatives →
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LLM Stats▲293I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…
Oct 2025 · llm-stats.com · its alternatives →
- 6LTLazy Tetris▲438
Hello all, About a month or so ago, you were all so nice as to put Lazy Tetris on your front page, and I've never felt so popular. More than 30,000 people have played the game all over the world. I'm truly happy if anyone is enjoying this fun project. So yes, I'm re-posting this, sorry if it's too soon, but I wanted to thank you for your amazing feedback in the comments: https://news.ycombinator.com/item?id=44103839 I've added the following features since we last spoke: - iOS app (why? Of course Monetization, but Haptics are also cool) - translations into a few languages -…
2025 · lazytetris.com · its alternatives →
- 7IG
2014 · shaunlebron.com · its alternatives →
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Scored 65.2% vs google's official 47.8%, and the existing top closed source model Junie CLI's 64.3%. Since there are a lot of reports of deliberate cheating on TerminalBench 2.0 lately (https://debugml.github.io/cheating-agents/), I would like to also clarify a few things 1. Absolutely no {agents/skills}.md files were inserted at any point. No cheating mechanisms whatsoever 2. The cli agent was run in leaderboard compliant way (no modification of resources or timeouts) 3. The full terminal bench run was done using the fully open source version of the agent, no…
Apr 2026 · github.com · its alternatives →
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PokerBench is my attempt at a new LLM benchmark wherein frontier models play Texas Hold'em in an arena setting. It also features a simulator to view individual games and observe how the different models reason about poker strategy. Opus/Haiku, Gemini Pro/Flash, GPT-5.2/5 mini, and Grok 4.1 Fast Reasoning have all been included. All code -> https://github.com/JoeAzar/pokerbench
Jan 2026 · pokerbench.adfontes.io · its alternatives →
- 10IM
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…
2022 · battle-of-flags.com · its alternatives →
- 11TI
2019 · djblue.github.io · its alternatives →
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Built a quick version of Tetris. Contribute to sacert/Quick-Tetris development by creating an account on GitHub.
2016 · github.com · its alternatives →
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Fabraix▲196We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent. Instead of binary pass/fail, ACE quantifies adversarial effort in dollars, enabling game-theoretic analysis of when an attack is economically rational. We tested six budget-tier models (Gemini Flash-Lite, DeepSeek v3.2, Mistral Small 4, Grok 4.1 Fast, GPT-5.4 Nano, Claude Haiku 4.5) with identical agent configs and an autonomous red-teaming attacker. Haiku 4.5 was an order of magnitude harder to break than every other model; $10.21 mean…
May 2026 · fabraix.com · its alternatives →
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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:…
2025 · localscore.ai · its alternatives →
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Contribute to jstimpfle/tetris-on-a-plane development by creating an account on GitHub.
2016 · github.com · its alternatives →
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Hey HN! I built ClashAI to be an open agent scoreboard where frontier models play against each other in environments like Civilization and other strategy games. Every match is streamed live with the AI thinking fully observable. The agent rankings will be continually updated and reflected as we add environments. Brief notes on CivBench Season #001: - 200 turn limit - Starting with 8 of the top 42 agents we’ve tested in a standardized harness - 90s reasoning timeout (timed with thinking config per model card) - live benchmark, still growing sample size What’s been interesting so far: Models…
Feb 2026 · clashai.live · its alternatives →
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After training calculator agent via RL, I really wanted to go bigger! So I built RL infrastructure for training long-horizon terminal/coding agents that scales from 2x A100s to 32x H100s (~$1M worth of compute!) Without any training, my 32B agent hit #19 on Terminal-Bench leaderboard, beating Stanford's Terminus-Qwen3-235B-A22! With training... well, too expensive, but I bet the results would be good! *What I did*: - Created a Claude Code-inspired agent (system msg + tools) - Built Docker-isolated GRPO training where each rollout gets its own container - Developed a multi-agent…
2025 · github.com · its alternatives →
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- 20AT
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
2025 · llmapitest.com · its alternatives →
- 21AT
2018 · tetris.joshbassett.info · its alternatives →
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2021 · github.com · its alternatives →
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Hey HN, We built a different kind of AI benchmark for UI generation. Instead of static leaderboards or curated screenshots, you can watch multiple models generate the same design live, side-by-side, and decide which output is actually better. Under the hood, we call AI models from Anthropic (Opus), OpenAI (GPT), Google (Gemini), and Moonshot AI (Kimi). Each model generates a real, editable project using Tailwind CSS (not screenshots or canvas exports). You can export it for Next.js, Laravel (Blade), Symfony (Twig), WordPress, or plain HTML. What we noticed building this: * Popular benchmarks…
Feb 2026 · shuffle.dev · its alternatives →
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Hi HN community, I have been working on benchmarking publicly available LLMs these past couple of weeks. More precisely, I am interested on the finetuning piece since a lot of businesses are starting to entertain the idea of self-hosting LLMs trained on their proprietary data rather than relying on third party APIs. To this point, I am tracking the following 4 pillars of evaluation that businesses are typically look into: - Performance - Time to train an LLM - Cost to train an LLM - Inference (throughput / latency / cost per token) For each LLM, my aim is to benchmark them for…
2023 · github.com · its alternatives →
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