How to follow open weight model releases for open source model enthusiasts in 2026

Learn how open source model enthusiasts can follow open weight model releases and compare tools that help track them.

By SupaKeeper · 2026-10-28

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

To follow open weight model releases, decide which model families matter to you, watch for signals that a release is near, and confirm each announcement against a dated source.

Option	What it can do	What to check
Model Odds	Ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. ^[1]	Check whether the model families it ranks are the ones you follow.
Existing tracking workflow	Use the release pages, notes, and alert methods already available in the workflow.	Check whether the current approach gives the release timing you need.
Model release tracker	A separate tool may provide a way to follow model releases and send alerts.	Check the model families, signals, and alert options it supports before choosing it.

What you need before you start

Before following open weight model releases, decide which model families matter for the work you do. The approach can differ by source, so knowing the models you care about shapes the rest of the process.

Know where each family announces releases. A release is usually announced on a company page, a developer blog, or a model catalogue, and knowing these places helps you notice announcements when they appear.

Keep a note of the date each model you follow was released. A dated record of past releases helps you judge a new announcement and gives context for what may come next.

Be clear about what you want from the tracking. The main needs can be noticing a release soon after it lands, judging how close a release may be, or keeping a record of past launches. Different tools may focus on different parts of that job.

Check that a tool tracks the model families you use. The families covered and the signals used matter, and a tool that ranks other families will not tell you what you need.

Step by step

List the open weight model families you want to follow. Include the sources and any specific models that matter for your projects.

Pick where each family announces releases. Note the company page, developer blog, or model catalogue that carries each announcement.

Record each release with its date. A note of when a model landed lets you spot patterns and compare announcements.

Look for signals that a release is near. Sources can include company SDKs, developer documentation, and model catalogues, and any signal should still be treated as an indication rather than a date.

Check a new announcement against a confirmed source. A release should be confirmed by an official post and an independent timeline so you are not acting on an unverified claim.

Set up an alert if you want release news pushed to you. Confirm the email address so the alerts actually arrive.

Recheck the tracking method when the model families you follow change. A method that covers one set of families may not cover the ones you add later.

Tools that can do it

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. ^[1] Anthropic and OpenAI each get their own page that lists every past release. ^[1]

It runs three separate calculations side by side and shows the spread between them as a range of likely outcomes. ^[1] The estimate is based on the gaps between recent launches and takes into account how long the current wait has already lasted. ^[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. ^[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 provides current odds, the launch record and a service status check. ^[1] Model Odds is free, and so is its API, with no account needed. ^[1] It is a web app that runs in the browser and needs JavaScript. ^[1] The website and the API share one snapshot that is cached for up to five minutes. ^[1] You can sign up with a confirmed email to get alerts, and every subscriber gets every company's releases at the same time. ^[1]

Because its ranking covers Anthropic and OpenAI, check whether those are the families you follow before relying on it for another source's releases.

Other approaches include using the release pages and alerts already available in a model workflow, or choosing a model release tracker after checking what it shows and how it handles your families. Compare each option against the exact job of following open weight model releases.

Common mistakes to avoid

Avoid following a tracker without checking which model families it ranks. A tool that covers other families will not warn you about the releases you care about.

Avoid treating a sign of an upcoming release as a date. Signals such as SDK changes or catalogue entries point to activity, but they are not a promise of when a model arrives.

Avoid acting on an announcement that is not confirmed. Check that a release is backed by an official post and an independent timeline before treating it as real.

Avoid skipping the date when you record a release. A record without a date is hard to compare against new announcements.

Avoid assuming that every tool works the same way. Check whether the option gives a ranking of likely releases or keeps a record of past launches, and which of those fits your need.

Frequently asked questions

How can open source model enthusiasts follow open weight model releases?

Open source model enthusiasts can follow open weight releases by listing the model families they care about, noting where each family announces releases, and recording each release with its date. Signals such as SDK changes or catalogue entries can hint that a release is near, and a new announcement should be confirmed against an official post and an independent timeline before it is treated as real.

What should be checked before choosing a model release tracker?

Check which model families the tracker ranks, how it confirms releases, and whether it records dates for past launches. Also check whether the tool gives a ranking of likely releases, sends alerts, or keeps a launch record, and whether those match the need. A tracker that covers other families will not help with the releases being followed.

Does Model Odds rank open weight model releases?

Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. ^[1] It gives each company its own page that lists every past release. ^[1] Before relying on it for a release, check whether the family being followed is one that Model Odds ranks, since its ranking covers Anthropic and OpenAI.

Can Model Odds send updates about model releases?

Model Odds can send alerts when you sign up with a confirmed email, and every subscriber gets every company's drops at the same time. ^[1] The estimator can replay any past date without using data from after that date. ^[1] Confirm the email so the alerts arrive.

What mistakes should be avoided when following model releases?

Avoid following a tracker without checking which model families it ranks, and avoid treating a sign of an upcoming release as a set date. Do not act on an announcement that lacks an official post and an independent timeline. Record each release with its date, and confirm that the chosen tool fits how the families being followed announce their releases.

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

Try Model Odds

Sources

Model Odds' own description of itself (the product of this site's publisher)