--- {"title": "LLM Stats alternatives in 2026", "description": "Compare LLM Stats with Model Odds, Artificial Analysis, LMSYS Chatbot Arena and Hugging Face, and pick the tool for your model question.", "url": "https://supakeeper.com/llm-stats-alternatives/", "date": "2026-10-23"} --- Compare LLM Stats with Model Odds, Artificial Analysis, LMSYS Chatbot Arena and Hugging Face, and pick the tool for your model question. LLM Stats publishes independent rankings of GPT, Claude, Gemini, Llama, DeepSeek and 300+ AI models. [^1] If your question is the chance of a new Anthropic or OpenAI model family, Model Odds estimates that chance for each family. [^2] | Option | What it does | Price | Platform | |---|---|---|---| | Model Odds | Ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. [^2] | Free, and so is its API, with no account needed. [^2] | Web app that runs in the browser and needs JavaScript. [^2] | | Artificial Analysis | Compares models on intelligence, pricing, speed, latency and benchmarks. [^3] | Not published | Not published | | LMSYS Chatbot Arena | Lets you compare 2 models side by side and battle 2 anonymous models. [^4] [^4] | Not published | Not published | | Hugging Face | A platform where the machine learning community collaborates on models, datasets and applications, with more than 2 million models to browse. [^5] [^5] | GPU compute starts at $0.60 per hour. [^5] Inference Providers have no service fees. [^5] | Not published | ## Why developers look past LLM Stats LLM Stats publishes independent rankings of GPT, Claude, Gemini, Llama, DeepSeek and 300+ AI models. [^1] It tracks 408 canonical models across every major lab and inference provider. [^1] The LLM Stats Score combines several categories of model evidence into one comparable number using an uncertainty-aware approach. [^1] That gives one number to compare across many models. Some developers have a narrower question. They may want the estimated chance that a new model family from a given company appears soon, or a direct comparison of two models. The options below each cover a different part of that question. ## Model Odds: release odds for Anthropic and OpenAI models Model Odds is made by the team that publishes this site, and it ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. [^2] Anthropic and OpenAI each get their own page that lists every past release. [^2] Each past launch it uses has to be confirmed by an official post and an independent timeline, and it is listed with its date. [^2] The estimate fits a renewal process to the gaps between recent launches, and it takes into account how long the current wait has already lasted. [^2] It runs three estimators side by side and publishes the spread between them as the error bar. [^2] Signals read from company software kits and docs, and from third-party model catalogues when two of them agree, can only raise the odds. [^2] The estimator can replay any past date without using data from after that date. [^2] You can sign up with a confirmed email to get alerts, and every subscriber gets every company's releases at the same time. [^2] Model Odds is free, and so is its API, with no account needed. [^2] It is a web app that runs in the browser and needs JavaScript. [^2] ## Artificial Analysis: model indexes and a model recommender Artificial Analysis publishes a Coding Agent Index v1.5 that incorporates 3 benchmarks. [^3] It maintains an Openness Index that assesses how open models are. [^3] It also offers a Model Recommender that optimizes recommendations across intelligence, speed and cost. [^3] Read each index page to see what it measures before you compare scores. ## LMSYS Chatbot Arena: side-by-side model comparisons LMSYS Chatbot Arena lets you compare 2 models side by side. [^4] You can also battle 2 anonymous models. [^4] Its leaderboards are powered by real people doing real work on Arena from across the globe. [^6] ## Hugging Face: a hub for browsing models and datasets Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications. [^5] It hosts more than 2 million models available to browse. [^5] Its Inference Providers give access to 45,000+ models through a single unified API with no service fees. [^5] ## How to pick the right LLM Stats alternative If you want one number that combines model evidence across many models, the LLM Stats Score does that. [^1] If you want two models compared side by side on the same question, LMSYS Chatbot Arena lets you compare 2 models side by side. [^4] If coding is your question, Artificial Analysis publishes a Coding Agent Index v1.5 that incorporates 3 benchmarks. [^3] If you want a large catalogue to search through, Hugging Face hosts more than 2 million models. [^5] If your question is when a new Anthropic or OpenAI model family might appear, Model Odds ranks each family by its estimated chance of a release within 30 days. [^2] The error bar shows the spread between its three estimators, so a wide bar means the estimates disagree. [^2] Things to check before you choose: whether the model families you follow are among the ones Model Odds ranks, and how fresh the figures need to be, since the website and its API share one snapshot that is cached for up to five minutes. [^2] Alerts go to every subscriber at the same time for every company it ranks. [^2] ## Frequently asked questions ### What does LLM Stats show? LLM Stats publishes independent rankings of GPT, Claude, Gemini, Llama, DeepSeek and 300+ AI models. [^1] It tracks 408 canonical models across every major lab and inference provider. [^1] The LLM Stats Score combines several categories of model evidence into one comparable number using an uncertainty-aware approach. [^1] Check whether the models you use are among the ones it ranks. ### Is Model Odds free to use? Model Odds is free, and so is its API, with no account needed. [^2] It is a web app that runs in the browser and needs JavaScript. [^2] Its public API serves odds, the launch record and service health. [^2] You can sign up with a confirmed email to get alerts. [^2] The website and API share one snapshot, cached for up to five minutes. [^2] ### How does Model Odds estimate a model release? Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. [^2] The estimate fits a renewal process to the gaps between recent launches and takes into account how long the current wait has already lasted. [^2] It runs three estimators side by side, and the spread between them is shown as the error bar. [^2] Signals from company software kits and docs can only raise the odds. [^2] ### Does Hugging Face let you browse many models? Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications. [^5] It hosts more than 2 million models available to browse. [^5] Its Inference Providers give access to 45,000+ models through a single unified API with no service fees. [^5] Check that the model you need is listed before you plan around it. ### Does Artificial Analysis have a tool that recommends models? Artificial Analysis offers a Model Recommender that optimizes recommendations across intelligence, speed and cost. [^3] Its Coding Agent Index v1.5 incorporates 3 benchmarks. [^3] It also maintains an Openness Index that assesses how open models are. [^3] Read each index page to see what it measures before you compare scores. Model Odds is free, and so is its API, with no account needed. [^2] - [Visit Model Odds](/go/start-modelodds) ## Sources [^1]: LLM Stats, llm-stats.com, read 2026-10-18 (https://llm-stats.com) [^2]: Model Odds' own description of itself (the product of this site's publisher) (/go/start-modelodds) [^3]: Artificial Analysis, artificialanalysis.ai, read 2026-10-08 (https://artificialanalysis.ai) [^4]: LMSYS Chatbot Arena, lmarena.ai, read 2026-10-09 (https://lmarena.ai) [^5]: Hugging Face, huggingface.co, read 2026-10-09 (https://huggingface.co) [^6]: LMSYS Chatbot Arena, lmarena.ai/leaderboard, read 2026-10-09 (https://lmarena.ai/leaderboard)