How fast AI reached a million users — and why every user league table is wrong

ChatGPT took five days. DeepSeek took fourteen. Most other models have no figure at all — not because nobody counted, but because they were never launched cold. Gemini, Copilot and Meta AI were switched on inside products that already had billions of accounts. This report sets out what can actually be verified about AI user numbers in the US and China, and the three structural reasons the published rankings disagree with each other by as much as four times.

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Key takeaways

• →ChatGPT’s five days is real and primary-sourced. OpenAI’s Greg Brockman posted it on day five: “ChatGPT just crossed 1 million users; it’s been 5 days since launch.” HIGH
• →Most models have no time-to-1M figure, and that is the finding. Gemini, Copilot and Meta AI never reached a million users — they were switched on for hundreds of millions of existing accounts. Ranking them against ChatGPT is a category error.
• →DeepSeek is the more interesting curve. Fourteen days to its first million — slower than ChatGPT — then roughly 100 million in seven days at the end of January 2025. MEDIUM
• →You cannot sum a Chinese league table. QuestMobile’s national total of 499M is deduplicated; the per-app figures are not. Doubao, Qwen and DeepSeek alone sum to 679M against it. HIGH
• →The disagreements are enormous. Claude appears at 56M and 245M monthly users in the same period — a 4.4× spread for one metric. CONTESTED
• →US and Chinese numbers are not measured the same way. US leaders disclose their own figures; Chinese rankings come from third-party device panels. They are not like-for-like and should never be placed in one column.

Part 1: Time to one million users

This is the comparison everyone wants, so here it is — with the caveat that only some rows belong in the same table at all.

Why most models have no number — and why that matters more than the ones that do

The absence is not an oversight. It is structural, and it invalidates most of the charts in circulation.

ChatGPT launched cold. In November 2022 it had no users, no distribution, no default placement in anything. Every one of that first million arrived by choosing to. That is what makes five days a meaningful number.

Gemini, Copilot and Meta AI did not launch — they were switched on. Gemini appeared inside Google accounts. Copilot appeared inside Microsoft 365. Meta AI appeared inside WhatsApp, Instagram and Facebook. Each crossed a million users in whatever interval it took the rollout to reach a million existing account-holders, which measures deployment speed, not demand. Threads is the purest case: one hour, because Instagram handed it a user base at the door.

Claude, Grok and Llama simply never announced one. By 2023 the milestone had stopped being newsworthy, and none of the three had reason to volunteer a small early number.

So a chart ranking “Threads 1 hour, ChatGPT 5 days, Instagram 2.5 months” is comparing a bundled rollout, a cold start and a pre-smartphone consumer launch as though they were the same event. The only clean AI-to-AI comparison in the entire dataset is ChatGPT’s five days against DeepSeek’s fourteen — two products that genuinely started from zero.

The DeepSeek curve is the more instructive one

DeepSeek was slower to its first million than ChatGPT, and then far faster to its hundredth. Released 11 January 2025, it reportedly took 14 days to a million, and by the end of January had accumulated roughly 125 million users — with over 80% of them arriving in the final week, about 100 million in seven days. ChatGPT, by comparison, took around two months to reach 100 million. MEDIUM

It topped the US App Store on 27 January 2025, roughly two weeks after launch, and passed 110 million downloads by 9 February. MEDIUM

The lesson is about the shape, not the winner. ChatGPT’s growth was a novelty curve — a new category, discovered by the curious. DeepSeek’s was a substitution curve: the category already existed, users already understood it, and a credible free alternative could therefore move a hundred million people in a week. Second movers in an established category grow differently from first movers in a new one, and no time-to-1M chart captures that.

Part 2: Where the US models are now

One figure here is solid. The rest are estimates that disagree with each other, and we have marked them accordingly.

Part 3: Where the Chinese models are now

The Chinese picture is better measured than the American one in one respect — there is a single dominant tracker, QuestMobile, publishing a consistent series — and worse in another: almost nothing is company-disclosed.

Look at the last row against the ones above it. Doubao, Qwen and DeepSeek alone total 679M. The national deduplicated figure is 499M. Both are from the same tracker, and both are correct — because heavy users run three or four assistants, and QuestMobile removes the overlap at the national level but not at the app level.

This single fact invalidates most published comparisons. Any chart that adds Chinese app MAUs to produce a market total is double-counting, often by 30–40%. It also means a Chinese app’s MAU and a US app’s MAU do not mean the same thing even before you get to methodology.

The three reasons the league tables disagree

1. Metric soup

Weekly actives, monthly actives, app-only monthly actives, downloads, registered accounts and web visits are six different numbers, and they are swapped freely. ChatGPT alone circulates as 900M (weekly actives, official), 1B (monthly app users), 800M (an older weekly figure still being quoted) and, in at least one widely-shared roundup, 2.8 billion monthly active users — roughly a third of humanity, which should have failed a sanity check before publication.

Downloads are the worst offender. DeepSeek’s 110M+ downloads and its ~130M monthly actives are different quantities measuring different things, and both get printed as “users.”

2. Deduplication, applied inconsistently

Covered above: QuestMobile deduplicates nationally but not per app. Nobody deduplicates across the US and China. A person using ChatGPT at work and Doubao at home is two users in every chart you have seen.

3. Panel estimates versus company disclosures

This is the one that makes US-versus-China comparison structurally unsound. US figures are mostly company-disclosed — OpenAI states its own weekly actives, and has an incentive to define them favourably but a strong disincentive to invent them outright. Chinese figures are mostly third-party panel measurements, where QuestMobile infers usage from a sample of devices and extrapolates. Panel measurement is a legitimate method with a known error band; it is not an audited count, and it is not the same kind of number as a disclosure.

Placing the two in one ranked column implies a precision that neither supports.

And a worked example of how this goes wrong

While researching this report we encountered a headline reporting “Doubao 3.8 Billion Users.” The actual figure is 382 million — the error is a mistranslation of 3.8亿 (3.8 hundred-million, the standard Chinese numeric unit) into “3.8 billion.” A factor-of-ten error, published, and now available to be cited onward by anyone who does not read Chinese numerals. DERIVED

Analysis: what can actually be said

One number in this report is solid. OpenAI’s 900M+ weekly actives is company-disclosed, recent, and consistently reported. Everything else is an estimate, a range, or a different metric wearing the same label.

The US leads on a single product; China leads on distribution. ChatGPT’s ~900M weekly actives is larger than the entire deduplicated Chinese AI-native app market at 499M. But China’s market grew 85.4% year on year, is split across four credible competitors rather than one, and reaches users through default placement in search, maps and social apps that no US lab can match domestically. Those are different kinds of strength and the ranking depends entirely on which you think matters.

The adoption-speed story has already changed shape. ChatGPT’s five days measured novelty — how fast a genuinely new thing spreads. DeepSeek’s hundred million in a week measured substitution — how fast users move when the category is understood and something free and credible appears. The next inflection will be a third shape again, and time-to-1M will not capture it, because no significant model now launches cold.

The honest summary is uncomfortable for a statistics site to publish: outside OpenAI’s own disclosure and QuestMobile’s national series, the AI user numbers in wide circulation are not reliable enough to rank. We have published the ranges and marked the contested figures rather than manufacture a tidy table, because a tidy table here would be fiction.

Frequently asked

Methodology & sources

Confidence chips follow our standard scale, with one addition for this report: CONTESTED marks a figure where credible sources disagree by a margin large enough that we decline to pick one, and publish the range instead. OpenAI’s weekly-active figure and the Brockman statement are HIGH — company-disclosed and primary respectively. QuestMobile’s national series is HIGH as a consistently-published tracker, while individual app MAUs from the same source are MEDIUM because other trackers give materially different numbers for the same months. Pre-AI benchmarks (Netflix, Facebook, Instagram, Spotify) are widely repeated and rarely primary-sourced; we include them for scale only. Primary sources could not be opened directly from our research environment — most relevant domains are unreachable through our network egress — so figures were assembled from convergent secondary reporting and are rated accordingly. Where we found only one source for a claim, we have said so inline. Quarterly cadence. Next review: December 2026.

Related on Report AI

• Which AI model leads in each country — the country-by-country picture
• Chinese AI models 2026 — capability rather than adoption
• AI in the Middle East 2026 — the third bloc
• LLM market statistics 2026 — revenue rather than users
• Enterprise AI index — adoption against measurable return

Sources

• Greg Brockman (OpenAI), public post, 5 Dec 2022 — the 1M / 5 days statement
• OpenAI — 900M+ weekly active users; 50M+ consumer subscribers
• QuestMobile, 2026 H1 AI-native app report (published Jul 2026) — 499M deduplicated MAU, +85.4% YoY; Doubao 382M, Qwen 167M, DeepSeek 130M; Q1 2026 440M — via TechNode, CIW, BigGo
• QuestMobile March 2026 ranking — Doubao 345M; top four Doubao, Qwen, DeepSeek, Yuanbao
• Bloomberg, “SpaceXAI’s Grok Bot Agent Tops 400,000 Users After First Month”, 22 Sep 2026
• TechCrunch, “DeepSeek reaches No. 1 on US Play Store”, 28 Jan 2025
• NetMarvel, CKGSB Knowledge, TechNode — DeepSeek January 2025 growth figures
• Statista, Time to one million users chart — pre-AI benchmarks and Threads
• Caixin Global — ByteDance Doubao subscription plans, May 2026