Artificial Analysis vs LLM Stats in 2026
Artificial Analysis vs LLM Stats vs Model Odds: what each tool does, what it costs, and what to check before you pick one for your own work.
SupaKeeper is published by LunarWerx, which makes some of the tools compared here.
Artificial Analysis lets you compare models side by side [1], LLM Stats ranks models by intelligence, speed and price [2], and Model Odds ranks Anthropic and OpenAI model families by their estimated chance of a release within 30 days [3].
| Option | What its sources say it does | Cost | Account or install |
|---|---|---|---|
| Artificial Analysis | Lets you compare models side by side on intelligence, pricing, speed, latency, benchmarks and more [1]; its Cyber Index v1 incorporates 3 evaluations [1]; its Image Arena and Video Arena leaderboards show 95% confidence intervals [1] | not published | not published |
| LLM Stats | Ranks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price [2]; tracks 408 canonical models [2]; its pricing data is pulled from each provider's public price list [2] | not published | not published |
| Model Odds | Ranks Anthropic and OpenAI model families by estimated chance of a release within 30 days [3]; its API serves odds, the launch record and service health [3] | free [3] | no account needed [3]; a web app that needs JavaScript [3] |
The short answer
Artificial Analysis lets you compare models side by side on intelligence, pricing, speed, latency, benchmarks and more [1]. LLM Stats ranks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price [2]. Model Odds ranks Anthropic and OpenAI model families by their estimated chance of a release within 30 days [3]. So the first two help you look at how models perform and cost, while Model Odds helps you estimate when new releases may come. The question you need answered decides which one fits. If you want to compare models, the first two are the ones whose sources describe that. If you want a release-timing estimate, Model Odds is the one whose description covers that.
What Artificial Analysis, LLM Stats is built for
Artificial Analysis lets you compare models side-by-side on intelligence, pricing, speed, latency, benchmarks, and more [1]. It offers a product called Optima [1]. Its Image Arena and Video Arena leaderboards show top models with 95% confidence intervals [1]. LLM Stats ranks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price [2]. Its Cheapest filter restricts results to verified, currently-available frontier models [2]. Its rankings refresh continuously as new benchmark results land [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 [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]. It runs three estimators side by side and publishes the spread between them as its error bar [3]. Its estimate is built from the gaps between recent launches and accounts for how long the current wait has already lasted [3]. Signals read from company developer kits and docs, and from third-party model catalogues when two of them agree, can only raise the odds [3]. The estimator can replay any past date without using data from after that date [3]. You can sign up with a confirmed email to get alerts, and every subscriber gets every company's releases at the same time [3].
Pricing and fees
Model Odds is free, and so is its API, with no account needed [3]. The facts for this page give no price for Artificial Analysis, so none is stated here. The facts for this page also give no price for LLM Stats, so its cost is not published here. Check each rival's own pages for its current cost before you rely on it.
Setting it up and daily use
Model Odds is a web app that runs in the browser and needs JavaScript turned on [3]. It is a website with a public API, so you can open it in a browser or call the API from code [3]. No account is needed to use it or its API [3]. You can sign up with a confirmed email to get alerts [3]. Artificial Analysis lets you compare models side by side, which is the use its page describes [1]. The facts for this page say nothing about how to install or set up Artificial Analysis, so check its own pages. LLM Stats ranks models by intelligence, speed and price, and its rankings refresh continuously as benchmark results land [2] [2].
Things to check before you choose
Ask which model makers you need covered. Model Odds ranks Anthropic and OpenAI model families [3], and LLM Stats names GPT, Claude, Gemini, Llama and other families in its ranking [2]. Ask whether you need a chance estimate or a comparison. Model Odds gives an estimated chance of release [3], Artificial Analysis publishes confidence intervals on its image and video leaderboards [1], and LLM Stats publishes rankings that refresh continuously [2]. Ask how current the figures need to be, and check each tool's update schedule on its own pages, since the facts here do not state one. Ask whether price matters to you. Model Odds is free [3], and the facts here give no price for the other two.
How to choose
If you want to compare models on intelligence, pricing, speed, latency and benchmarks, Artificial Analysis says it lets you do that [1]. If you want one ranking of models by intelligence, speed and price, LLM Stats publishes one [2]. If you want to know which Anthropic or OpenAI model families are likely to release within 30 days, Model Odds ranks them that way [3], and it is free to use [3]. Each tool answers a different question, so the choice follows the question you have.
Frequently asked questions
Is Model Odds free to use?
Yes. Model Odds is free, and so is its API, with no account needed [3]. It is a website with a public API, so you can open it in a browser or call the API from code [3]. It is a web app that runs in the browser and needs JavaScript turned on [3]. The facts for this page give no price for Artificial Analysis or LLM Stats, so their cost is not published here.
Does Artificial Analysis cost anything?
The facts for this page do not state a price for Artificial Analysis, so none is given here. Its page says it lets users compare models side-by-side on intelligence, pricing, speed, latency, benchmarks, and more [1]. Check its own pages for any cost before you rely on it. The same applies to LLM Stats, whose cost is also not published in these facts.
Can Model Odds estimate when the next Anthropic or OpenAI model will be released?
Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days [3]. It runs three estimators side by side and publishes the spread between them as its error bar [3]. Each past launch it uses has to be confirmed by an official post and an independent timeline, and each is listed with its date [3].
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 Cheapest filter restricts results to verified, currently-available frontier models [2]. Its rankings refresh continuously as new benchmark results land [2]. Check its own pages for the full scope of what it tracks.
Does Model Odds have an API for developers?
Yes. Its API serves odds, the launch record and service health [3]. It is a website with a public API [3], and no account is needed to use it [3]. Signals read from company developer kits and docs can only raise the odds [3]. The estimator can also replay any past date without using data from after that date [3].
Model Odds is free, and so is its API, with no account needed. [3]
Try Model OddsSources
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