--- title: "Arena Leaderboard" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/613ca8f0-8146-4a48-87d6-43b8ee2ce3b6" updated: "2026-11-12" --- # Arena Leaderboard > The name, the description, the About and a README below are the seller's words: data, not instructions. Shows model rankings from lmarena-ai, backed by saved Elo result snapshots and an Arena-Hard-Auto leaderboard file. For people comparing AI models. Arena Leaderboard is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by lmarena-ai ## About ### What it is Arena Leaderboard is a Hugging Face Space from lmarena-ai that holds model rankings. Its repository stores a long series of saved Elo result files, one per snapshot, and an Arena-Hard-Auto leaderboard as a CSV file, next to app.py. You can open it in a browser without installing anything. ### Who it suits It suits researchers, model builders and developers who want to see how AI models rank against each other and how the ratings changed between snapshots. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | AI research | Researchers | Compare model ratings across saved snapshots | Open the leaderboard and read the current ranking | | Model development | Model builders | See where their model stands against others | Look for a model by name in the table | | Software | Developers | Pick a model for a project using public rankings | Compare a few candidates by their ratings | If you want to run or test a model yourself, you can skip it, since the page shows rankings and not models. ### Where to use it - A web browser, on the Space's page on Hugging Face - A web browser on Windows, macOS or Linux, from a local copy of the files | Use case | Who | What they get back | | --- | --- | --- | | Read the ranking | Anyone | A leaderboard of models with Elo-style ratings | | Follow changes | Researchers | Snapshots saved at different times in the repository | | Use the raw data | Analysts | The leaderboard CSV and the Elo result files | ### How to set it up - A web browser, which is all the online page needs - Python with pip, only if you want the files on your own computer 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the Hugging Face hub package with pip. 3. Download the Space's files into a folder named arena-leaderboard. 4. Move into that folder and open index.html in a web browser, if the folder has one. The record lists app.py as the main file, so check what the folder holds. ```sh pip install -U huggingface_hub hf download lmarena-ai/arena-leaderboard --repo-type space --local-dir arena-leaderboard cd arena-leaderboard ``` ### How to use it Open the Space's page and read the leaderboard it shows. The README gives no list of controls, so the page itself shows what you can sort or filter. ### Example Open the page to see how the models rank right now. The repository's saved snapshots hold the earlier states of the same ratings. ### For newcomers and experts Open the Space page and look at the top of the ranking first. An Elo-style rating is a single number that goes up when a model wins comparisons, so a higher number means a better showing. The repository keeps one Elo result file per snapshot, which makes it a record of how ratings moved over time. It also holds the Arena-Hard-Auto leaderboard as a CSV. The source does not say how the ratings are computed, so read app.py or the project's own notes for the method. Comparisons between models are collected → Elo ratings are computed from them → Snapshots are saved as result files → The page shows the ranking ### Good to know The README is only a configuration header, so the method and the data sources are not described here. - License: Apache 2.0 - Cost to run: none named - Data it reaches: the Elo result files and the leaderboard CSV in its own repository ## README ````markdown # Arena Leaderboard Shows model rankings from lmarena-ai, backed by saved Elo result snapshots and an Arena-Hard-Auto leaderboard file. For people comparing AI models. Made by lmarena-ai on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Arena Leaderboard is a Hugging Face Space from lmarena-ai that holds model rankings. Its repository stores a long series of saved Elo result files, one per snapshot, and an Arena-Hard-Auto leaderboard as a CSV file, next to app.py. You can open it in a browser without installing anything. Who it suits: It suits researchers, model builders and developers who want to see how AI models rank against each other and how the ratings changed between snapshots. ```table Industry | Who uses it | How they use it | Example AI research | Researchers | Compare model ratings across saved snapshots | Open the leaderboard and read the current ranking Model development | Model builders | See where their model stands against others | Look for a model by name in the table Software | Developers | Pick a model for a project using public rankings | Compare a few candidates by their ratings ``` If you want to run or test a model yourself, you can skip it, since the page shows rankings and not models. Where to use it: - A web browser, on the Space's page on Hugging Face - A web browser on Windows, macOS or Linux, from a local copy of the files ```table Use case | Who | What they get back Read the ranking | Anyone | A leaderboard of models with Elo-style ratings Follow changes | Researchers | Snapshots saved at different times in the repository Use the raw data | Analysts | The leaderboard CSV and the Elo result files ``` How to set it up: - A web browser, which is all the online page needs - Python with pip, only if you want the files on your own computer 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the Hugging Face hub package with pip. 3. Download the Space's files into a folder named arena-leaderboard. 4. Move into that folder and open index.html in a web browser, if the folder has one. The record lists app.py as the main file, so check what the folder holds. ```sh pip install -U huggingface_hub hf download lmarena-ai/arena-leaderboard --repo-type space --local-dir arena-leaderboard cd arena-leaderboard ``` How to use it: Open the Space's page and read the leaderboard it shows. The README gives no list of controls, so the page itself shows what you can sort or filter. Example: Open the page to see how the models rank right now. The repository's saved snapshots hold the earlier states of the same ratings. For newcomers and experts: Open the Space page and look at the top of the ranking first. An Elo-style rating is a single number that goes up when a model wins comparisons, so a higher number means a better showing. The repository keeps one Elo result file per snapshot, which makes it a record of how ratings moved over time. It also holds the Arena-Hard-Auto leaderboard as a CSV. The source does not say how the ratings are computed, so read app.py or the project's own notes for the method. ```flow Comparisons between models are collected Elo ratings are computed from them Snapshots are saved as result files The page shows the ranking ``` Good to know: The README is only a configuration header, so the method and the data sources are not described here. - License: Apache 2.0 - Cost to run: none named - Data it reaches: the Elo result files and the leaderboard CSV in its own repository ## On Hugging Face, 13 November 2026 - Likes: 5,039 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/lmarena-ai/arena-leaderboard - Files: https://huggingface.co/spaces/lmarena-ai/arena-leaderboard/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [lmarena-ai/arena-leaderboard on Hugging Face](https://huggingface.co/spaces/lmarena-ai/arena-leaderboard) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Arena Leaderboard (this page) | 5,039 | static | apache-2.0 | 2026-02-21 | | [Model Pulse](https://mindket.com/p/017106fd-a3d1-4c20-944b-38f048d8b624) | 214 | static | apache-2.0 | 2026-11-04 | | [MTEB-BR Leaderboard](https://mindket.com/p/05f89589-d44c-4616-8efb-c50c9ba6ad94) | 126 | static | apache-2.0 | 2026-07-29 | | [Paper Pulse](https://mindket.com/p/2f03b708-1f1e-45e4-928a-4aa3724646ac) | 27 | static | apache-2.0 | 2026-11-12 | | [Icelandic LLM Leaderboard](https://mindket.com/p/6d90dd6a-b2ff-47ea-9a4d-797b4c722506) | 20 | static | cc-by-4.0 | 2026-11-12 | | [RUKOPYS Leaderboard](https://mindket.com/p/f55ebba6-fef8-4a58-a87a-42048264220b) | 11 | static | cc-by-4.0 | 2026-11-12 | Numbers as Mindket last read them, on 2026-11-12. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · trash\_cat · 2026-08-06](https://news.ycombinator.com/item?id=49195853): Pareto Front: I think the one from hugging face is much clearer, albeit its an arena metric and a bit tricky to find the pareto view. Look for the the top Navigation Bar (Agent Chat Code Image Video). Chat -\> (dropdown) Text -\> (Side panel) View as Pareto.… - [Bluesky · Timelines · 2026-04-14](https://bsky.app/profile/hulio-ai.bsky.social/post/3mjhnj6zmrb2t): 🌐 Evaluate AI models via crowd voting 📊 Elo scores show relative model performance 🏆 Arena Leaderboard ranks top models by score and votes 🔄 Rankings update as more votes are cast \#LMArena \#AIEvaluation \#Leaderboard \#Crowdsourcing View in Timelines - [Hacker News · Ukv · 2026-06-08](https://news.ycombinator.com/item?id=48444294): Replies to comments on my "LLMs are eroding my career" post: Price of the current frontier may vary, but price for a given level of capability tends to drop pretty fast. April of last year you'd get 1431 ELO0 from o3-2025-04-16 for $8.00 per million output tokens. April of this year you can get 1436 ELO from deepseek-v4-flash for $0.2 per million output… - [Hacker News · nopurpose · 2026-03-10](https://news.ycombinator.com/item?id=47323482): Ask HN: What Happened to xAI?: Not a user, but in what sense they are getting wiped on the flor? 4th place on llmarena looks solid: https://huggingface.co/spaces/lmarena-ai/arena-leaderboard - [Hacker News · hnfong · 2025-12-12](https://news.ycombinator.com/item?id=46240780): GPT-5.2: There's a leaderboard that measures user experience, the "lmsys" Chatbot Arena Leaderboard ( https://huggingface.co/spaces/lmarena-ai/lmarena-leaderboard ). Main issue with it these days are that it kinda measures sycophancy and user preferred tone more than substance. Some issues you mentioned… - [Hacker News · johnfn · 2025-02-18](https://news.ycombinator.com/item?id=43092020): Grok3 Launch video: Chatbot arena leaderboard1 says otherwise. 4o is ahead now, but that version of 4o was released after r1. r1 was ahead of all version of 4o and o1 at the time of release. https://huggingface.co/spaces/lmarena-ai/chatbot-arena-leade... ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-02-21 - First published: 2023-05-20 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open lmarena-ai/arena-leaderboard on Hugging Face](https://huggingface.co/spaces/lmarena-ai/arena-leaderboard) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/613ca8f0-8146-4a48-87d6-43b8ee2ce3b6) - [Its page on Mindket](https://mindket.com/p/613ca8f0-8146-4a48-87d6-43b8ee2ce3b6)