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LLM Stats vs The Rundown AI in 2026

LLM Stats and The Rundown AI compared on what each does, what each costs and what to check before you pick one to follow AI model releases.

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SupaKeeper is published by LunarWerx, which makes some of the tools compared here.

LLM Stats publishes independent rankings of AI models [1], and The Rundown AI publishes daily AI implementation guides [2]. Which one suits you depends on whether you need model rankings or practical guides and use cases [2].

OptionWhat its sources say it doesCostAccount or install
LLM StatsPublishes independent rankings of more than 300 AI models [1]; tracks 408 canonical models across every major lab and inference provider [1]; ranks models by intelligence, speed and price [1]not publishednot published
The Rundown AIPublishes AI implementation guides every day [2]; its library holds more than 300 practical use cases [2]; runs weekly live, interactive workshops with industry leaders [2]not publishednot published
Model OddsRanks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days [3]; its public API serves odds, the launch record and service health [3]free, and so is its API [3]no account needed [3]; a web app that runs in the browser and needs JavaScript [3]; a website with a public API [3]

The short answer

LLM Stats publishes independent rankings of GPT, Claude, Gemini, Llama, DeepSeek and more than 300 AI models [1]. It tracks 408 canonical models across every major lab and inference provider [1]. The Rundown AI publishes AI implementation guides every day [2], and its library holds more than 300 practical use cases for automating real-world work [2]. Pick LLM Stats if you want to compare models by one comparable number [1]. Pick The Rundown AI if you want written guides and use cases to apply in your own work [2]. Model Odds answers a different question, namely when the next Anthropic or OpenAI model family might launch [3].

What LLM Stats and The Rundown AI are built for

LLM Stats publishes independent rankings of GPT, Claude, Gemini, Llama, DeepSeek and more than 300 AI models [1]. The LLM Stats Score combines several categories of model evidence into one comparable number, using an approach that accounts for uncertainty [1]. The site tracks 408 canonical models across every major lab and inference provider [1]. The Rundown AI publishes AI implementation guides every day [2]. Its library holds more than 300 practical use cases for automating real-world work [2]. Its podcast, Rowan's Notes, is hosted by Rowan Cheung, who talks with AI industry experts about recent developments and how to use them in the future of work [2].

What Model Odds is built for

Model Odds is made by the team that publishes this site. Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days [3]. Each company gets its own page that lists every past release [3]. Each past launch it uses has to be confirmed by an official post and an independent timeline, and it is listed with its date [3]. The estimate is a model fitted on the gaps between recent launches, and it accounts for how long the current wait has already lasted [3]. It runs three estimates side by side and publishes the spread between them as an error bar [3]. The estimator can replay any past date without using data from after that date [3]. It offers a public API for odds, the launch record and service health [3].

Pricing and fees

The facts given here state no price for LLM Stats [1], so no fee is published in this comparison. The facts given here also state no price for The Rundown AI [2], so none is published here either. Model Odds is free, and so is its API, with no account needed [3]. Since neither rival has a published fee in these facts, a like-for-like cost comparison is not possible from them, so check each site's pricing before you decide.

Setting it up and daily use

The facts given here say nothing about installing or setting up LLM Stats, so check its site for those steps [1]. The Rundown AI publishes its guides every day [2], and the facts given here say nothing about account steps or setup [2]. Model Odds is a web app that runs in the browser and needs JavaScript [3]. It is a website with a public API [3], and the website and the API both read one shared copy of the data, kept for up to five minutes [3]. You can sign up with a confirmed email to get alerts, and every subscriber gets each company's releases at the same time [3].

Things to check before you choose

Ask what you need the tool to tell you. LLM Stats publishes rankings and a score [1], and The Rundown AI offers guides and use cases [2]. Ask how current you need the figures to be. The facts given here say nothing about how often the guides or the library change [2]. Ask whether you need release odds for companies other than Anthropic and OpenAI, since Model Odds ranks the model families of those two companies [3]. Ask whether an estimate with a published spread suits you, since Model Odds runs three estimates side by side [3]. Ask how signals affect the odds. Model Odds says signals from company developer toolkits and docs, and from third-party model catalogues when two of them agree, can only raise the odds [3].

How to choose

If you want to compare models by one comparable number, LLM Stats publishes a score that combines several categories of evidence [1]. If you want written guides and use cases for your own work, The Rundown AI publishes daily guides and a library of more than 300 use cases [2] [2]. If you want to know which Anthropic or OpenAI model family is most likely to launch soon, Model Odds ranks those families by the estimated chance of a release within 30 days [3]. If you need a free API for release odds, Model Odds offers one with no account needed [3] [3].

Frequently asked questions

Is LLM Stats free to use?

The facts given here state no price for LLM Stats [1], so no fee is published in this comparison. LLM Stats publishes independent rankings of GPT, Claude, Gemini, Llama, DeepSeek and more than 300 AI models [1]. Check its own site for any charge before you rely on it.

Does The Rundown AI charge for its guides?

The facts given here state no price for The Rundown AI [2], so none is published here. Its guides are published every day [2], and its library holds more than 300 practical use cases for automating real-world work [2]. Check its site for current pricing before you decide.

Can Model Odds tell when the next Anthropic or OpenAI model will launch?

Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days [3]. The estimate is fitted on the gaps between recent launches and accounts for how long the current wait has already lasted [3]. It runs three estimates side by side and publishes the spread between them [3]. Each past launch it uses is confirmed by an official post and an independent timeline [3].

Can Model Odds be used without signing up?

Yes. Model Odds is free, and so is its API, with no account needed [3]. Its public API serves odds, the launch record and service health [3]. The website and the API both read one shared copy of the data, kept for up to five minutes [3]. Email alerts need a confirmed email address [3].

How does the LLM Stats Score work?

The site 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 approach that accounts for uncertainty [1]. The facts given here do not say how each category is weighted, so check the site's own pages for that detail before you compare scores.

Model Odds is free, and so is its API, with no account needed. [3]

Try Model Odds

Sources

  1. LLM Stats, llm-stats.com, read 2026-10-18
  2. The Rundown AI, therundown.ai, read 2026-10-09
  3. Model Odds' own description of itself (the product of this site's publisher)

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