Artificial Analysis vs Kalshi in 2026
Artificial Analysis, Kalshi and Model Odds compared on what each does, what each costs, how each is used and what to check before you pick one.
SupaKeeper is published by LunarWerx, which makes some of the tools compared here.
Artificial Analysis compares AI models on intelligence, pricing, speed and more [1]. Kalshi is a prediction market for trading the future [2]. Model Odds ranks Anthropic and OpenAI model families by estimated chance of a release within 30 days [3].
| Option | Own price | Account | Setup |
|---|---|---|---|
| Artificial Analysis | Not published | Not published | Not published |
| Kalshi | Fees not published; members risk losing their cost to enter any transaction, including fees [2] | Not published | Not published |
| Model Odds | Free, and so is its API [3] | No account needed [3] | A website with a public API [3] |
The short answer
Artificial Analysis lets a developer compare AI models side by side on intelligence, pricing, speed, latency and benchmarks [1]. Kalshi is a prediction market where members trade on the future [2]. Model Odds ranks Anthropic and OpenAI model families by their estimated chance of a release within 30 days [3].
On needs, Artificial Analysis's page covers model comparison [1] and offers a model recommender [1]. Kalshi's page describes trading [2]. Model Odds covers release odds and a public API [3].
What Artificial Analysis and Kalshi are built for
Artificial Analysis describes itself as independent analysis of AI [1]. Users can compare models side by side on intelligence, pricing, speed, latency, benchmarks and more [1].
Its Intelligence Index v4.3.2 incorporates 10 evaluations [1]. Its Coding Agent Index v1.5 incorporates 3 benchmarks: DeepSWE v1.1, Terminal-Bench 4.0, and SWE-Atlas-QnA [1]. It also keeps an Openness Index that assesses how open models are [1]. Its page offers personalized model recommendations that optimize across intelligence, speed and cost [1]. Optima is a product for building your own custom benchmark [1].
Kalshi calls itself a prediction market for trading the future, and it is subject to regulatory oversight by the CFTC in the United States [2] [2]. It has an incentive program [2]. Its page says trading involves risk and may not be appropriate for all [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]. Anthropic and OpenAI each get their own page that lists every past release [3]. Each past launch the model 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 renewal process fitted on the gaps between recent launches, and it takes into account how long the current wait has already lasted [3]. It runs three estimators side by side and publishes the spread between them as the error bar [3]. The estimator can replay any past date without using data from after that date [3].
An API serves per-line odds, the launch record and service health [3]. You can sign up with a confirmed email to get alerts, and every subscriber gets every company's drops at the same time [3].
Pricing and fees
The Artificial Analysis facts here state no price for the site, so its price is not published here.
Kalshi's facts here state no fee amounts, so they are not published here. Its page says members risk losing their cost to enter any transaction, including fees [2]. It also says trading decisions are solely the user's responsibility and at their own risk [2].
Model Odds is free, and so is its API, with no account needed [3]. No paid tier price is stated in its claims.
Setting it up and daily use
The Artificial Analysis facts here do not describe installing or setup. Day to day, its page describes comparing models side by side [1] and offers a model recommender [1].
The Kalshi facts here do not describe account setup or daily use beyond trading on its markets [2]. Check its own pages for sign up steps.
Model Odds is a website with a public API [3]. It is a web app that runs in the browser and needs JavaScript [3]. The website and the API share one snapshot that is cached for up to five minutes [3]. You can sign up with a confirmed email to get alerts [3].
Things to check before you choose
Ask what question you need answered: how models compare today, or when a model may release. Artificial Analysis's page speaks of comparing models [1], and Model Odds speaks of release odds [3].
Check the cost of entry. Kalshi's page says members risk losing their cost to enter any transaction, including fees [2].
Check which companies you need covered. Model Odds ranks Anthropic and OpenAI families [3]. Ask the other tools what they cover.
Check how fresh the data must be. Model Odds shares one snapshot cached for up to five minutes [3].
Check whether you need an API. Model Odds has one [3]; check the others' pages.
How to choose
If you want to compare models on intelligence, pricing, speed and latency, Artificial Analysis's page describes that [1].
If you want to build your own custom benchmark, its page describes Optima [1].
If you want to trade on future events, Kalshi's page describes a prediction market [2].
If you want estimated release odds for Anthropic and OpenAI models, Model Odds's claims describe that [3].
If you want a free API with no account, Model Odds's claims say that [3].
Frequently asked questions
Is Artificial Analysis free to use?
The Artificial Analysis facts here state no price, so its price is not published here. Its page describes side by side comparison of models on intelligence, pricing, speed, latency, benchmarks and more [1]. Check its own pages for plans before relying on it.
What fees does Kalshi charge?
The Kalshi facts here give no fee amounts, so they are not published here. Its page says members risk losing their cost to enter any transaction, including fees [2]. It also says trading involves risk and may not be appropriate for all [2]. Check Kalshi's own pages for current fees.
Is Model Odds free?
Model Odds is free, and so is its API, with no account needed [3]. No paid tier price is stated in its claims. It is a website with a public API [3]. Check the site itself for any later change to plans.
What does Artificial Analysis measure about AI models?
Its page says users can compare models on intelligence, pricing, speed, latency and benchmarks [1]. Its Intelligence Index v4.3.2 incorporates 10 evaluations [1]. It also keeps an Openness Index assessing how open models are [1].
How does Model Odds estimate a model release?
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 [3]. It runs three estimators side by side and publishes the spread between them as the error bar [3]. It ranks Anthropic and OpenAI families by chance of release within 30 days [3].
Model Odds is free, and so is its API, with no account needed. [3]
Try Model OddsSources
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