AI September 26, 2026

Alternatives: AI Release Tracker Alternatives: 9 Options Compared

A lab ships a new model at 10:30 pm IST. By the time you open your laptop the next morning, the launch post has been edited once, two leaderboards disagree on where it ranks, and someone on X is quoting a price the provider never published. If you've been leaning on AI Release Tracker to make sense of mornings like that, the best alternatives depend on which question you're asking. Artificial Analysis is the pick for comparable quality, speed and price data. Epoch AI is the pick for historical and infrastructure context. Our own newsletter, The Daily Brief, is the pick if you'd rather have releases land in your inbox each morning than go hunting for them. The other six each answer one narrower question well.

The short version

No single tool replaces AI Release Tracker's free, ad-free timeline of frontier releases since ChatGPT, with its launch-day scores and flat-file exports (as a 2026 tracker directory describes it). Pair a chronology source with a measurement source. For most readers, that means Epoch AI or AI Portal for "what launched when," plus Artificial Analysis or LLM Stats for "how good is it and what does it cost," with The Daily Brief as the morning push that tells you something happened at all.

Why people look past AI Release Tracker

The tool does one job cleanly, and that is also the reason people outgrow it. A timeline tells you a model shipped on a given date with a given score. It doesn't tell you whether the model is available in India yet, what it costs per million tokens a week later, or whether developers are using it.

In my experience covering launches daily, three frictions push readers elsewhere:

Launch-day scores age fast. The number on day one often comes from the provider's own announcement, and independent evaluations can shift it within days. Our guide to reading AI benchmark claims walks through why.
Price data goes stale. Artificial Analysis reported inference prices falling by around half or more in some model categories during Q3 2025. A price captured at launch can be wrong within a quarter.
Pull, not push. You have to remember to check it.

One more thing, since search results for this topic are a mess. If you arrived expecting AI visibility tracking tools like Profound or Radarkit, those track prompts and citations of your brand inside ChatGPT or Claude answers. That's competitor analysis for marketers, a different job from tracking model releases, and none of those tools appear below.

How we picked and ranked these nine

I call the pattern here the one-question rule: every tool in this space answers one question well and the rest poorly. Release calendars capture what launched and when. Benchmark platforms measure quality, speed and cost. Preference arenas count human votes. Usage rankings measure routed demand. Research databases add history and verification.

So each option was scored against the same six criteria:

Release coverage: does it tell you what launched, and when?
Source reliability: are figures linked, dated, or checked against primary sources?
Measurement depth: quality, speed, price, usage, or preference data.
Delivery: do you have to visit it, or does it come to you?
Machine access: exports, APIs, or agent-readable formats.
Cost: free, freemium or paid.

Tools that score well across several criteria rank higher. A tool that nails one criterion but ignores the rest sits lower, even if it's the best in the world at that one thing.

The nine alternatives at a glance

Alternative	Best for	Standout feature	Price (2026)
1. Artificial Analysis	Comparable quality, speed and price data	671 models, 100+ providers, exports	Pro $417/seat/month; about $335 on annual
2. Epoch AI	Historical and infrastructure context	3,600+ models plus compute and chip data	Free, with attribution
3. The Daily Brief	A morning push of AI, crypto and finance news	Daily email, three beats in one	Free
4. ReposHub	Source-linked specs and pricing	Rumors labeled as rumors	Free (no plans listed)
5. AI Portal	A lightweight release timeline	Major-lab launch chronology	Free (no plans listed)
6. LLM Stats	Composite rankings for agents	MCP server	No paid plan shown
7. OpenRouter Rankings	Real-world usage signals	Token-volume rankings	Free tier; 5.5% fee on pay-as-you-go
8. AI Understanding	Checking announced vs available	Dated news archive	Free (no plans listed)
9. LMArena	Human preference rankings	Blind head-to-head voting	Free to access

1. Artificial Analysis: best for comparable quality, speed and price data

Artificial Analysis

Artificial Analysis benchmarks models side by side on quality, output speed and price, then lets you build custom charts, tables and reports on top. It's the closest thing to a professional analytics desk for model launches, and the only paid product on this list.

Coverage is the headline strength: a 2026 comparison of trackers and leaderboards counts 671 models across more than 100 providers. API access and data exports mean you can feed its numbers into your own dashboards rather than screenshotting charts. And because price is measured alongside quality, you catch the quarter-by-quarter price drops a static launch record misses.

The limitation is cost. Pro runs $417 per seat per month on monthly billing, or roughly $335 a month if you commit annually, with Enterprise priced on request. It's also a measurement tool, so it won't give you a neat chronology of launches since ChatGPT.

Verdict: the strongest pick if you publish or buy on the basis of model comparisons and can justify a seat.

2. Epoch AI: best for historical and infrastructure context

Epoch AI

Epoch AI is a research organization whose public databases track machine-learning models, AI data centers, GPU clusters, accelerators, hardware, benchmarks and long-term compute trends. Where AI Release Tracker starts at ChatGPT, Epoch's records reach much further back and much deeper into the hardware.

The model database alone holds more than 3,600 entries. That context matters when a lab claims a breakthrough: Epoch estimates global AI computing capacity has been doubling roughly every seven months, which tells you how much of a "leap" is simply more compute. Its broader datasets also cover 500-plus GPU clusters and 170-plus AI accelerators. Everything is free to use, redistribute and reproduce with attribution, which suits anyone writing reports.

The trade-off: Epoch is built for analysis, and it won't give you a launch-day score or ping you when something ships this week.

Verdict: the best free substitute for anyone who needs the long view, especially researchers and writers.

3. The Daily Brief: best for having releases come to you

The Daily Brief

We built The Daily Brief because most people don't want another tab to check. It's our free email newsletter covering the day's trending technology, cryptocurrency and finance news, delivered every morning. Since it's ours, we held it to the same six criteria as everything else here, and it wins on one of them outright: delivery.

Here's where it earns the slot. Every other tool on this list is pull: you visit it, or you script an agent to. The Daily Brief is push, so the late-night launch is already summarized when you wake up. It also covers AI alongside crypto and finance in one email, which matters if a model launch and a token move are both part of your morning. And it costs nothing.

Be clear about what it isn't. It's a concise briefing: no leaderboard, no launch-day scores, no data exports, no searchable release database. For a model's benchmark position or per-token price, you'll still open Artificial Analysis or LLM Stats.

Verdict: the right pick for readers who follow AI as part of a wider tech, crypto and finance diet and want it read in five minutes, not reconstructed from four dashboards.

Tip: The setup I'd recommend to most readers: The Daily Brief in your inbox to catch what happened, Epoch AI or AI Portal to place it on a timeline, and one measurement tool to judge it. Three free-or-cheap sources beat one tool trying to do everything.

4. ReposHub: best for source-linked specs and pricing

ReposHub publishes model pricing and specification pages, tracks release status, and links figures to their sources. Its most useful habit is labeling unconfirmed information as rumor instead of mixing it in with confirmed specs.

For anyone who has quoted a leaked context-window figure that turned out wrong, that separation is worth a lot. Dated pricing means you can tell when a number was last true, and source links mean you can verify before you publish. No subscription is listed, and pages are accessible without sign-up.

Its coverage is narrower than Artificial Analysis, and it doesn't run its own benchmarks, so "how good is it?" needs another tool.

Verdict: the one to keep open when accuracy matters more than breadth. Pair it with our checklist on spotting misleading AI model claims.

5. AI Portal: best for a lightweight release timeline

AI Portal runs a public release timeline covering major launches from OpenAI, Anthropic, Google and other providers. Of all nine, it's the most direct swap for AI Release Tracker's chronology.

It's free, fast to scan, and focused on the big labs, so the noise of minor fine-tunes stays out. If what you used AI Release Tracker for was "when did Claude's last model ship relative to Gemini's," AI Portal answers that.

What you lose is the scoring and the flat-file exports. It's a calendar, and a calendar doesn't measure capability.

Verdict: the closest like-for-like replacement for the timeline, minus the data layer.

6. LLM Stats: best for composite rankings that agents can read

LLM Stats combines model evidence into a single composite leaderboard and exposes it through an MCP server, so an AI agent can query rankings directly. The Rochette comparison puts its coverage at 398 models.

The MCP access is the draw for technical readers. If you're building a research agent, or asking a local model in Ollama to summarize the week's launches, a machine-readable source is cleaner than scraping web pages. That makes it the nearest substitute for AI Release Tracker's agent-friendly exports.

The weakness of any composite: blending scores hides which benchmark moved the ranking. Coverage is also a little over half of Artificial Analysis's.

Verdict: a smart free choice for builders who want rankings inside their tools.

7. OpenRouter Rankings: best for real-world usage signals

OpenRouter Rankings

OpenRouter is a model router, and its public rankings show which models developers route traffic to, by token volume. It answers a question no benchmark can: what are people using?

The data is large. OpenRouter's State of AI report analyzed more than 100 trillion tokens of real interactions in 2025. Its latest weekly table I reviewed had DeepSeek on 25.4% of requests, well ahead of Google at 18.6% and OpenAI at 17.0%, a spread that looks nothing like most quality leaderboards and tells you price is doing heavy lifting. The Free tier offers 25-plus free models from four providers, capped at 50 requests a day; pay-as-you-go adds a 5.5% platform fee across 500-plus models and 80-plus providers.

Keep the caveat front of mind: these numbers reflect traffic routed through OpenRouter only, not the global market. Enterprise users going direct to OpenAI never show up.

Verdict: a useful demand signal, as long as you never quote it as market share.

8. AI Understanding: best for checking announced vs available

AI Understanding keeps a dated AI-news archive and tracks release announcements, noting whether a product was announced or available. That distinction is the gap I see trip up coverage most often, and I call it the announced-available gap.

A launch post says "rolling out today." Your readers in India try it and see a waitlist. AI Understanding records that difference, and the dated archive lets you check what was claimed when.

It's lightweight. No scores, no pricing, no usage data.

Verdict: a free fact-checking layer for writers, less useful for anyone choosing a model.

9. LMArena: best for human preference rankings

LMArena runs blind head-to-head comparisons: you see two anonymous responses, vote for the better one, and those votes produce preference-based rankings. It's free to use.

The strength is that it captures how models feel to real users, which benchmarks miss. The limitation is the same thing. Rankings reflect human preference, and a model can win votes with a friendlier tone while losing on accuracy. It's neither a release tracker nor a benchmark.

Verdict: worth a look for a vibe check, but it ranks last here because it answers the question least connected to release tracking.

Who should stay with AI Release Tracker

Don't switch if your need is exactly what the tool already does: a free, ad-free chronology since ChatGPT with launch-day scores and exports an agent can read. None of the free alternatives combine all of that. AI Portal gives you the timeline without exports, LLM Stats gives you machine access without the chronology, and Artificial Analysis gives you both depth and exports at $417 a seat. If AI Release Tracker already covers your workflow, add a tool rather than replace one.

Moving your workflow over

The migration is light, because trackers hold public data rather than your own. Nothing needs exporting except any flat files you built scripts around. Realistic effort:

Replace the timeline with AI Portal or Epoch AI (under an hour to bookmark and learn).
Repoint agent scripts from flat-file exports to LLM Stats' MCP server or Artificial Analysis's API. This is the only step with real work: budget an afternoon if you've written custom parsers.
Add a push layer by subscribing to a morning newsletter. Our comparison of Rundown AI vs 1440 covers other options if The Daily Brief isn't your fit.

What doesn't transfer: your historical launch-day scores. Save anything you've cited before you stop using the old tool.

Warning: Prices and availability on every tool here change quickly. Treat any per-token figure you pull as dated to the day you pulled it, and write that date into your notes or copy.

How to choose

Start from the question, then pick the tool. For "what launched?", use AI Portal or The Daily Brief. For "how good is it and what does it cost?", pay for Artificial Analysis if you publish comparisons, otherwise use LLM Stats. "What came before?" belongs to Epoch AI; "is this confirmed?" to ReposHub and AI Understanding. OpenRouter and LMArena are secondary signals, not primary sources.

If you want maximum reliability, take the approach The Prompt Bench recommends in its Release Radar write-up: build your own release record from provider feeds, documentation and model cards, and use aggregators only to cross-check. That's how we work on launch days, and it's why our Claude news guide links to Anthropic's own posts before any leaderboard.

Frequently asked questions

What is the best free alternative to AI Release Tracker?

Epoch AI is the best free alternative for depth, with more than 3,600 models plus compute and hardware data, free to reuse with attribution. For a like-for-like release timeline, AI Portal is closer. If you want releases delivered instead of looked up, The Daily Brief is a free morning email covering AI alongside crypto and finance. Most readers do best combining one timeline tool with one measurement tool rather than relying on a single site.

Is Artificial Analysis worth $417 a month?

It's worth it if model comparisons drive decisions you get paid for, such as publishing benchmarks or choosing APIs for a product. Pro costs $417 per seat monthly, or about $335 a month on annual billing, and covers 671 models from more than 100 providers with exports and API access. For casual tracking, free tools like LLM Stats and Epoch AI cover most needs without the seat cost.

Can I use OpenRouter rankings as AI market share?

No. OpenRouter's rankings only count traffic routed through OpenRouter, so they miss companies calling providers like OpenAI or Anthropic directly. They're a useful signal of what developers on that platform choose, which often favors cheaper models, but quoting them as global market share will mislead your readers.

Which AI tracker works with AI agents?

LLM Stats is the most agent-friendly free option because it offers an MCP server that agents can query directly for its composite rankings. Artificial Analysis provides API access and data exports on its paid plans. Both can feed a research agent or a locally run model, replacing the flat-file exports AI Release Tracker offers.

How do I check if an announced AI model is available in India?

Use AI Understanding, which records whether products were announced or available, then confirm against the provider's own documentation or pricing page. Launch posts often say "rolling out" while regional access lags by days or weeks. ReposHub also tracks release status and labels unconfirmed details as rumor, which helps separate real availability from speculation.