AI model release trackers for developers in 2026
Compare AI model release trackers for developers building on AI models, with options for release estimates, comparisons and prediction markets.
SupaKeeper is published by LunarWerx, which makes some of the tools compared here.
Pick by the question you need answered. Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. [1] Artificial Analysis lets users compare models on intelligence, pricing, speed, latency, benchmarks and more. [2] Polymarket, Manifold and Kalshi are prediction markets. [3] [4] [5]
| Option | What the tool does | Price as stated |
|---|---|---|
| Model Odds | Ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. [1] | Free, and so is its API, with no account needed. [1] |
| Artificial Analysis | Lets users compare models on intelligence, pricing, speed, latency, benchmarks and more. [2] | not published |
| Polymarket | Describes itself as the world's largest prediction market. [3] | not published |
| Manifold | Lets users browse markets in categories including politics, technology, sports, culture, business and fun. [4] | New users are given 1,000 Mana to start trading. [4] |
| Kalshi | A prediction market for trading the future. [5] | Members risk losing their cost to enter any transaction, including fees. [5] |
What developers building on AI models need from AI model release trackers
A developer building on AI models usually needs to know whether a new model may arrive soon, how current models compare, and what information can help with planning work.
Those are different questions. A release estimate can help with planning changes, while a model comparison can help with evaluating choices. A prediction market can show traded outcomes, but it follows the rules of that market.
The limits are practical. Some tools focus on release timing, some focus on model comparisons, and some focus on prediction markets. Check which providers a tool covers, what information it shows, and how the information can be used before relying on it. The sections below say what each source states and nothing more.
Model Odds for developers building on AI models
It ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. [1] Anthropic and OpenAI each get their own page that lists every past release. [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] It runs three estimators side by side and publishes the spread between them as the error bar. [1] 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. [1]
An API serves per-line odds, the launch record and service health. [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] Model Odds is free, and so is its API, with no account needed. [1] The website and the API share one snapshot that is cached for up to five minutes. [1]
Artificial Analysis for developers building on AI models
Artificial Analysis provides independent analysis of AI. [2] It lets users compare models on intelligence, pricing, speed, latency, benchmarks and more. [2]
Its Model Recommender optimizes recommendations across intelligence, speed and cost. [2] It offers Optima, a product for building your own custom benchmark. [2]
Its Artificial Analysis Coding Agent Index v1.5 incorporates 3 benchmarks. [2]
Polymarket for developers building on AI models
Polymarket describes itself as the world's largest prediction market. [3]
Trading is blocked in the United States on Polymarket's website. [3] The United States platform is operated by QCX LLC d/b/a Polymarket US, a CFTC-regulated Designated Contract Market. [3] The international platform is not regulated by the CFTC and operates independently. [3]
Manifold for developers building on AI models
Manifold is operated by Manifold Markets, Inc. [4] New users are given 1,000 Mana to start trading. [4]
It lets users browse markets in categories including politics, technology, sports, culture, business and fun. [4] Manifold also offers Mana Perps. [4]
Kalshi for developers building on AI models
Kalshi is a prediction market for trading the future. [5] It is subject to U.S. regulatory oversight by the CFTC. [5]
Its page says trading involves risk and may not be appropriate for all. [5]
Matching the tool to the job
To estimate when an Anthropic or OpenAI model family may release, Model Odds ranks families by estimated chance of a release within 30 days. [1]
To check how an estimate was built, Model Odds publishes the spread between three estimators as the error bar. [1] To pull release information into code, Model Odds has an API. [1]
To compare models on price, speed and intelligence, Artificial Analysis lets users compare models side by side. [2] To build a custom benchmark, Artificial Analysis offers Optima. [2]
To trade on future outcomes, Polymarket, Manifold and Kalshi are prediction markets. [3] [4] [5]
Questions to ask before you choose
Which question needs an answer: release timing, model comparison, or traded outcomes?
Do you need information about specific model providers? Check which providers each tool covers before relying on it.
How fresh must the information be? Check how each source updates its information.
Can the tool provide the information in the way your workflow needs? Some developers may need a website, while others may need data access.
Do you need alerts or a way to use the information in code? Check each source for the features that matter.
Frequently asked questions
Is there a free tracker with an API for AI model releases?
Model Odds is free, and so is its API, with no account needed. [1] The API serves per-line odds, the launch record and service health. [1] Check whether its coverage of Anthropic and OpenAI matches the providers used for development.
How does Model Odds estimate a 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. [1] It runs three estimators side by side and publishes the spread between them as the error bar. [1]
What can Artificial Analysis compare between AI models?
Artificial Analysis lets users compare models on intelligence, pricing, speed, latency, benchmarks and more. [2] It offers Optima, a product for building your own custom benchmark. [2] Check whether the comparison information matches the decision you need to make.
Can prediction markets help track AI model releases?
Polymarket, Manifold and Kalshi are prediction markets. [3] [4] [5] Check each market's information, rules and coverage before using it for release planning.
Can a tracker email developers when a new AI model drops?
Model Odds lets users sign up with a confirmed email to get alerts, and every subscriber gets every company's drops at the same time. [1] Check each option for alert features before choosing a tracker.
Model Odds is free, and so is its API, with no account needed. [1]
Try Model OddsSources
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