Best AI model release trackers for AI sales engineers in 2026
Compare Model Odds, Polymarket, Artificial Analysis, LLM Stats and The Rundown AI for tracking AI model releases, with questions to ask before you choose.
SupaKeeper is published by LunarWerx, which makes some of the tools compared here.
Pick by the question you need answered: whether a release may come soon, how models compare, or what has been announced. Model Odds ranks Anthropic and OpenAI model families by their estimated chance of a release within 30 days. [1] Artificial Analysis lets users compare models on intelligence, pricing, speed, latency, benchmarks and more. [2] The Rundown AI publishes its AI implementation guides daily. [3]
| Option | What the tool does | Price as stated |
|---|---|---|
| Model Odds | Ranks Anthropic and OpenAI model families by their estimated chance of a release within 30 days. [1] | Free, and so is its API, with no account needed. [1] |
| Polymarket | Describes itself as the world's largest prediction market. [4] | not published |
| Artificial Analysis | Lets users compare models on intelligence, pricing, speed, latency, benchmarks and more. [2] | not published |
| LLM Stats | Ranks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price. [5] | not published |
| The Rundown AI | Publishes its AI implementation guides daily. [3] | not published |
What AI sales engineers need from AI model release trackers
AI sales engineers spend their days showing prospects how a product works and answering technical questions about the models behind it. A new model family can change what a demo shows, so this role often needs three things: a sense of whether a release may come soon, a way to compare models on quality and cost, and a record of what has been announced this week. These are separate questions, and no single source answers all three equally well. A release estimate is only a guess about timing, so anything said to a prospect should be checked against the AI company's own announcements first. A quick answer on which models are current helps in a call. Keep a note of the date you checked each source, because a model expected last month may already have shipped or may still be pending. Before you choose, decide which of the three needs matters most in your week, then read each tool's page for what it actually reports.
Model Odds for AI sales engineers
Model Odds is made by the team that publishes this site. It ranks Anthropic and OpenAI model families by their estimated chance of a release within 30 days. [1] Anthropic and OpenAI each get their own page that lists every past release. [1] Each past launch on those pages has to be confirmed by an official post and an independent timeline, and it is listed with its date. [1] The estimate is a renewal process fitted on the gaps between recent launches, which means it models the time between releases and takes into account how long the current wait has already lasted. [1] It runs three separate estimates side by side and shows the spread between them as an error bar. [1] Model Odds is a website that runs in the browser and needs JavaScript. [1] It is free, and so is its API, with no account needed. [1]
Polymarket for AI sales engineers
Polymarket describes itself as the world's largest prediction market. [4] Its international platform is not regulated by the US Commodity Futures Trading Commission and operates independently. [4] The information available here does not say whether it lists markets on model releases, so check its market list directly before you rely on it for that question.
Artificial Analysis for AI sales engineers
Artificial Analysis 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 also has a coding agent index built from three benchmarks. [2]
LLM Stats for AI sales engineers
LLM Stats ranks GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, GLM and more by intelligence, speed and price. [5] Its rankings refresh continuously as new benchmark results land. [5] Its Cheapest filter restricts results to verified, currently-available frontier models. [5]
The Rundown AI for AI sales engineers
The Rundown AI publishes its AI implementation guides daily. [3] Its library contains more than 300 practical use cases to automate real-world work. [3] Rowan's Notes is a podcast hosted by Rowan Cheung, where he talks with experts in the AI industry about the latest developments, why they matter, and how you can use them in the future of work. [3]
Matching the tool to the job
To judge whether a model family could ship soon, Model Odds gives its estimated chance of a release within 30 days for Anthropic and OpenAI. [1] Each company's page lists its past releases. [1] Each launch on those lists is confirmed by an official post and an independent timeline. [1] To compare models for a prospect on intelligence, pricing and speed, Artificial Analysis lets users compare them side by side. [2] LLM Stats ranks models by intelligence, speed and price. [5] Its Cheapest filter restricts results to verified, currently-available frontier models. [5] For daily written coverage, The Rundown AI publishes AI implementation guides every day. [3] For a view from prediction markets, Polymarket calls itself the world's largest prediction market. [4] Check its market list for model release questions before you rely on it. For alerts, Model Odds lets you sign up with a confirmed email, and every subscriber gets every company's drops at the same time. [1] For a team that wants the data inside its own tools, Model Odds has a public API that serves the odds, the launch record and service health. [1]
Questions to ask before you choose
Which AI companies do your prospects ask about most? Check each tool's company list against that answer before you rely on it. How fresh do the figures need to be? Model Odds shares one snapshot that is cached for up to five minutes. [1] Check how each other tool updates its numbers. Would your team use the data in its own programs? Model Odds has a public API that serves the odds, the launch record and service health. [1] Which of the three needs matters most this month: release timing, model comparison, or announcements? Match each tool to the job it answers.
Frequently asked questions
Does Model Odds estimate release timing for every AI company?
Model Odds ranks Anthropic and OpenAI model families by their estimated chance of a release within 30 days. [1] Anthropic and OpenAI each get their own page that lists every past release. [1] Each past launch on those pages has to be confirmed by an official post and an independent timeline, and it is listed with its date. [1] For any other company, check which companies a tool tracks before you rely on it.
How does Model Odds work out its estimate?
The estimate is a statistical model fitted on the gaps between recent launches, and it takes into account how long the current wait has already lasted. [1] It runs three separate estimates side by side and shows the spread between them as an error bar. [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] Treat the figure as a guide to timing, not as an announced date.
Is Model Odds free to use?
Model Odds is free, and so is its API, with no account needed. [1] The website runs in the browser and needs JavaScript. [1] Its public API serves per-line odds, the launch record and service health. [1] The website and the API share one snapshot that is cached for up to five minutes. [1]
Can Polymarket show whether a model release is coming?
Polymarket describes itself as the world's largest prediction market. [4] Its international platform is not regulated by the US Commodity Futures Trading Commission and operates independently. [4] The information available here does not say whether it lists markets on model releases, so check its market list directly before you use its prices as a signal.
What does Artificial Analysis compare for AI models?
Artificial Analysis 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 also has a Coding Agent Index v1.5, which incorporates 3 benchmarks: DeepSWE v1.1, Terminal-Bench 4.0, and SWE-Atlas-QnA. [2]
Model Odds is free, and so is its API, with no account needed. [1]
Try Model OddsSources
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