Best AI model release trackers for open source fans in 2026

Compare Model Odds, LLM Stats, Hugging Face, Latent Space, AI News by Smol AI and The Rundown AI for tracking AI model releases.

By SupaKeeper · 2026-10-28

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

Choose by what you want to follow each day. AI News by Smol AI summarizes top AI Discords, Reddits and X/Twitters. ^[1] LLM Stats tracks 408 canonical models across major labs. ^[2] Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. ^[3]

Option	What the tool does	Price as stated
Model Odds	Ranks every Anthropic and OpenAI model family by estimated chance of a release within 30 days. ^[3]	Free, no account needed; the API is free too. ^[3]
Latent Space	Top technical AI podcast with a newsletter of over 203,000 subscribers. ^[4] ^[4]	not published
AI News by Smol AI	Daily roundup of top AI Discords, Reddits and X/Twitters. ^[1]	not published
LLM Stats	Tracks 408 canonical models with scores from public benchmarks and live API metrics. ^[2] ^[2]	not published
Hugging Face	Platform for the community to collaborate on models, datasets and applications. ^[5]	GPU compute from $0.60/hour. ^[5]
The Rundown AI	Daily AI implementation guides, with a library of 300+ practical use cases. ^[6] ^[6]	not published

What open source model enthusiasts need from AI model release trackers

An open source model enthusiast usually wants to see what is new, what is good, and whether a big lab is about to release a model. Those are different questions, and they need different tools.

One kind of tool reports which models exist and how they rank. Another rounds up what the community and the big labs are doing each day. One tool tries to say how likely a release from a specific company is.

Each source states only part of the picture. A podcast and a newsletter can tell you what labs are building. ^[4] A model catalogue lets you browse many models at once. A ranking gives one number that compares models. None of these stands in for the others.

Check what each tool's own page says it does, because no source here claims to give a release date or to cover every lab. The sections below report each source's stated claims and nothing more. Match the tool to the question you actually want answered.

Model Odds for open source model enthusiasts

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 a page that lists every past release. ^[3]

Each past launch it uses must 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 the error bar. ^[3] Signals read automatically from company SDKs and docs can only raise the odds. ^[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] Model Odds is free, no account needed, and so is its API. ^[3] It is a web app that runs in the browser and needs JavaScript. ^[3]

Latent Space for open source model enthusiasts

Latent.Space describes itself as a top technical AI podcast. ^[4] It covers how leading labs build agents, models, infrastructure, and AI for science. ^[4] Its newsletter has over 203,000 subscribers. ^[4]

The value for an enthusiast is hearing what the people building models say and why each release matters. The stated material is coverage of how labs work, not a schedule of upcoming releases. Check its page to see how often new episodes and issues arrive.

AI News by Smol AI for open source model enthusiasts

AI News by Smol AI summarizes top AI Discords, AI Reddits, and AI X/Twitters, and sends a daily roundup. ^[1] The page links to a customizable version. ^[1] The service respects user privacy. ^[1]

The page reports what the community is saying each day rather than a schedule of models to come. For an enthusiast this is a way to keep up with the conversation around releases. Check its page for what the roundup covers.

LLM Stats for open source model enthusiasts

LLM Stats tracks 408 canonical models across every major lab and inference provider. ^[2] Every score is sourced from public benchmarks and live API metrics. ^[2] Its dedicated Open LLM Leaderboard filters the catalog to models with publicly released weights so they can be self-hosted or fine-tuned. ^[2]

That last point is what an open source enthusiast is likely to care about: ranking models whose weights you can actually run yourself. The stated data is benchmark-based comparison, not a release tracker. Check its page for the benchmarks each ranking uses.

Hugging Face for open source model enthusiasts

Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications. ^[5] It hosts more than 2 million models available to browse. ^[5] GPU compute on Hugging Face starts at $0.60/hour. ^[5]

For an enthusiast this is where many open models are published and browsed, and where you can run them on compute it provides. The page states what the platform holds and the price per unit of its compute. Check its page for any other costs.

The Rundown AI for open source model enthusiasts

The Rundown AI publishes daily AI implementation guides. ^[6] Its library contains more than 300 practical AI use cases for automating real-world work. ^[6]

The stated content is practical ways to put AI to work rather than release timing. An enthusiast may use it to see how released models are applied. Check its page for what each guide and the library cover.

Matching the tool to the job

To see how a release is being used in the community, AI News by Smol AI sends a daily roundup of top AI Discords, Reddits, and X/Twitters. ^[1]

To hear how labs build models, Latent Space covers how leading labs build agents, models, infrastructure, and AI for science. ^[4]

To see practical uses of models, The Rundown AI publishes daily AI implementation guides. ^[6]

To compare models on benchmarks, LLM Stats tracks 408 canonical models, and its Open LLM Leaderboard filters to models with publicly released weights. ^[2] ^[2]

To browse and run open models, Hugging Face hosts more than 2 million models to browse. ^[5]

To estimate whether Anthropic or OpenAI is likely to release a model family soon, Model Odds ranks every family by its estimated chance of a release within 30 days. ^[3]

Questions to ask before you choose

Which question do you need answered: what the community is saying, how models rank, or how likely a specific company is to release soon?

Do you want models you can run yourself? LLM Stats can filter to models with publicly released weights. ^[2] Hugging Face lets you browse many models. ^[5] Check each page for what it lists.

How often do you want updates? Some send a daily roundup. ^[1] Check each source's stated cadence.

What can you spend? Model Odds is free. ^[3] Check each page for current terms.

Do you want odds for Anthropic and OpenAI specifically? Model Odds ranks those two companies. ^[3] If you follow other labs, check whether any tool here reports them.

Frequently asked questions

Does Model Odds track open source model releases?

Model Odds ranks every Anthropic and OpenAI model family by its estimated chance of a release within 30 days. ^[3] It does not list models from other companies, so it will not show open models from elsewhere. Each past release it uses must be confirmed by an official post and an independent timeline. ^[3] For open source models specifically, check LLM Stats, which can filter to models with publicly released weights.

Is Model Odds free?

Model Odds is free, and so is its API, with no account needed. ^[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] It is a web app that runs in the browser and needs JavaScript. ^[3] Check its page if the terms change.

Which tool ranks open source models?

LLM Stats has a dedicated Open LLM Leaderboard that filters the catalog to models with publicly released weights so they can be self-hosted or fine-tuned. ^[2] It tracks 408 canonical models across every major lab and inference provider. ^[2] Every score is sourced from public benchmarks and live API metrics. ^[2] This makes it useful for comparing models you can actually run on your own machine.

Where can open source models be browsed?

Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications, and it hosts more than 2 million models available to browse. ^[5] ^[5] You can also rent GPU compute there, starting at $0.60 per hour. ^[5] Check the page for the models it lists and for current pricing.

Which tool helps keep up with AI model releases?

AI News by Smol AI summarizes top AI Discords, AI Reddits, and AI X/Twitters, and sends a daily roundup. ^[1] Latent Space covers how leading labs build models through a podcast and newsletter. ^[4] For a chance estimate on Anthropic or OpenAI specifically, Model Odds ranks families by the chance of a release within 30 days. ^[3] None of these claims an exact release date.

Model Odds is free, and so is its API, with no account needed. ^[3]

Try Model Odds