SupaKeeper Plain comparisons of AI coding tools

Model Odds vs LLM Stats in 2026

Model Odds and LLM Stats compared on what each does and what to check before you choose.

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Model Odds and LLM Stats compared on what each does, what each costs and what to check before you pick one to track or compare AI models.

Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days [1], and LLM Stats ranks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price [2].

OptionWhat its sources say it doesCostAccount or install
LLM StatsRanks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price [2]; tracks 408 canonical models across every major lab and inference provider [2]; rankings refresh continuously as new benchmark results land [2]not publishednot published in the facts
Model OddsRanks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days [1]; runs three estimators and publishes the spread between them as an error bar [1]; its past launches are each confirmed by an official post and an independent timeline and listed with their dates [1]; can email alerts on every company's drops at the same time [1]free, no account needed [1]a website with a public API [1]; no account [1]

The short answer

A developer who wants to know which Anthropic or OpenAI model is likely to come next checks Model Odds, which ranks every such model family by its estimated chance of a release within 30 days [1]. A developer comparing existing models across labs checks LLM Stats, which ranks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price [2]. The need for a forecast of a coming Anthropic or OpenAI release points to Model Odds [1]. The need to compare released models against each other points to LLM Stats, whose rankings refresh continuously as new benchmark results land [2].

What LLM Stats is built for

LLM Stats ranks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price [2]. Its rankings refresh continuously as new benchmark results land [2]. For a developer comparing released models across labs, the leaderboard gives a single list ordered by intelligence, speed and price [2]. Its Cheapest filter restricts results to verified, currently-available frontier models, so a developer who wants only models that are verified and usable now can narrow the list to those [2]. Because rankings refresh continuously as new benchmark results land, a developer can expect the order to move as new results come in [2].

What Model Odds is built for

Model Odds is made by the team that publishes this site. It ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days [1]. It runs three estimators side by side and publishes the spread between them as an error bar, so a developer can see how far the estimates differ [1]. The estimate is a renewal process fitted on the gaps between recent launches, and it takes into account how long the current wait has already lasted [1]. Each past launch it uses has to be confirmed by an official post and an independent timeline, and it is listed with its date [1]. Anthropic and OpenAI each get their own page that lists every past release [1]. Signals read automatically from company SDKs and docs, and from third-party model catalogues when two of them agree, can only raise the odds [1]. The estimator can replay any past date without using data from after that date, so a developer can check how it would have looked earlier [1]. You can sign up with a confirmed email to get alerts, and every subscriber gets every company's drops at the same time [1].

Pricing and fees

Model Odds is free, and so is its API, with no account needed [1]. The facts given here do not state a dollar price for LLM Stats, so it is not published here [2]. Neither source describes any trial or discount, so none is stated here. The only price given in the facts for either tool is free for Model Odds [1]. The facts about LLM Stats describe its rankings and filters but give no charge for the tool itself, so its cost is not published here. If you need the cost of LLM Stats for your own use, check its own pages, since the facts here do not state one.

Setting it up and daily use

Model Odds is a website with a public API [1], and it is a web app that runs in the browser and needs JavaScript [1]. You open it in a browser or call its API for data [1]. The website and the API share one snapshot that is cached for up to five minutes, so the figures you read can be up to five minutes old [1]. The API serves per-line odds, the launch record and service health [1]. There is no account to set up [1]. You can sign up with a confirmed email to get alerts, and every subscriber gets every company's drops at the same time [1]. For LLM Stats, the facts describe its leaderboard and filters but say nothing about installing or setting anything up [2]. Its rankings refresh continuously as new benchmark results land, so a developer checks back to see an updated order [2]. The facts here say nothing more about setup or routine use for either tool, so check the tools' own pages for anything further.

Things to check before you choose

Ask what you need the tool to tell you. Model Odds ranks Anthropic and OpenAI model families by estimated chance of a release within 30 days [1], while LLM Stats ranks existing models by intelligence, speed and price [2]. Ask whether you want a forecast of a coming release or a comparison of released models. Ask what the ranking rests on. Model Odds runs three estimators and publishes the spread between them as an error bar [1], and LLM Stats refreshes its rankings as new benchmark results land [2]. Ask how fresh the figures must be. Model Odds caches a shared snapshot for up to five minutes [1], and the facts here give no freshness for LLM Stats, so check its pages. Ask what either tool charges; Model Odds is free [1], and the facts here give no charge for LLM Stats.

How to choose

If your question is which Anthropic or OpenAI model is likely to be released within 30 days, Model Odds ranks every such model family by that estimate [1]. If your question is how today's released models compare, LLM Stats ranks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price [2]. If you want only verified models you can use now, LLM Stats' Cheapest filter restricts results to verified, currently-available frontier models [2]. If you want a forecast you can weigh with its own error bar, Model Odds runs three estimators and publishes the spread between them [1]. If you want the numbers through an API with no account, Model Odds has a public API and is free [1] [1].

Frequently asked questions

Is Model Odds free to use?

Model Odds is free, and so is its API, with no account needed [1]. It is a website with a public API [1]. The facts here give no other price for Model Odds. You can sign up with a confirmed email to get alerts, and every subscriber gets every company's drops at the same time [1].

Does LLM Stats cost anything?

The facts given here do not state a dollar price for LLM Stats, so its cost is not published here [2]. The facts describe how it ranks models and refreshes its rankings with new benchmark results [2] [2], but say nothing about a fee. Check its own pages if you need the cost.

Can Model Odds tell which Anthropic or OpenAI model comes next?

Yes. Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days [1]. It runs three estimators side by side and publishes the spread between them as an error bar [1], and its estimate takes into account the gaps between recent launches and how long the current wait has already lasted [1].

What does LLM Stats rank?

LLM Stats ranks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price [2]. Its rankings refresh continuously as new benchmark results land [2]. Its Cheapest filter restricts results to verified, currently-available frontier models [2]. The facts here give no further detail about the tool, so check its pages for the rest.

Can Model Odds data be used without signing up?

Yes. Model Odds has a public API and needs no account [1] [1]. The API serves per-line odds, the launch record and service health [1]. The website and the API share one snapshot cached for up to five minutes, so the figures can be up to five minutes old [1].

Model Odds is free, and so is its API, with no account needed. [1]

Try Model Odds

Sources

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

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