Google processes over 3.2 quadrillion tokens monthly, a 7x increase from last year
Sundar Pichai's I/O 2026 keynote revealed staggering AI scale metrics, with Gemini hitting 900 million monthly users and AI Overviews reaching 2.5 billion people worldwide.
+15.1% (FY ended 2025-12-31 vs FY ended 2024-12-31) 10-K
Annual net income
132,170,000,000 USD (FY ended 2025-12-31, attributable to the company) 10-K
Annual operating margin
32.0% (FY ended 2025-12-31)
Forward P/E
Unavailable: no dated forecast source
Gloria daily close for session Oct 27, 2026. Market cap and trailing P/E use this close with the SEC share total and trailing diluted earnings, each dated next to its figure. Annual revenue, revenue growth, net income and margin show their own fiscal period and link the 10-K. Current context may postdate this article.
Alphabet Inc. and its peers
Company
Price
Market cap
P/E (trailing)
Forward P/E
Annual revenue (USD)
Annual revenue growth
Annual net income (USD)
Operating margin
Alphabet Inc.
GOOGL · Price dated Oct 27, 2026 · tokenized GOOGLx
3,333,751,000FY ended 2025-12-31, attributable to the company · 10-K
75.8%FY ended 2025-12-31
Missing figures stay unavailable. Forward P/E requires a dated source. Annual revenue, revenue growth, net income and margin come from each company's own 10-K, in US dollars, and each row shows that fiscal year. Revenue growth compares the fiscal year with the prior year stated in the same 10-K. Net income is the full year amount attributable to the company, or available to common stockholders where the filing states only that, or consolidated net income. Each row names its basis. Trailing P/E reads "Not meaningful" when the dated trailing diluted EPS is a loss or zero. An operating margin appears only when the filing states both the operating income and the revenue for the same year.
Sources: SEC filings, Gloria daily closes and CoinGecko. Oldest record refresh: Oct 27, 2026, 10:51 PM EDT. Refresh is not a price or filing date. Each row shows its price date and its annual fiscal period. Peers use industry code and company size, or editorial selection. Market cap multiplies that row price by the company share total the latest SEC filing states for every share class together. Trailing P/E divides it by trailing diluted earnings from SEC filings. Rolled earnings per share are approximate because share counts can change between periods. Both appear only when the SEC data carries its date, so they are estimates at one price date, not synchronized filing valuations. Not investment advice.
Token vs underlying stock
Current comparison for GOOGL. Historical observations may postdate this article.
Split-adjusted regular-session stock closes from the existing Gloria shared history, paired only with an observed token price within 45 minutes of 16:00 New York time. Up to 60 matched sessions. No interpolation or missing-date fill. Weekends and known early closes are omitted. Token units are not adjusted for issuer multipliers or dividend treatment. This compares quoted prices, not fair value, executable premiums or arbitrage returns. Solid line: token. Dashed line: stock. Exact quote times and values appear below. Historical observations. Retrieval refers to the token source. Token quote times use UTC. The fixed cohort shows its oldest member fetch.
Alphabet token vs Alphabet stock: exact source values
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To put 3.2 quadrillion in perspective, that’s 3,200,000,000,000,000 tokens. Google is now processing that volume every single month across its AI products, a figure CEO Sundar Pichai dropped during the Google I/O 2026 keynote on May 20.
That number represents a 7x increase from last year.
The numbers behind the number
The 3.2 quadrillion figure spans token inference across Google’s entire AI-powered surface area: Gemini, Search with AI Overviews, YouTube, Workspace, Cloud APIs, and multimodal data processing across images, video, and audio.
Here’s the growth trajectory in plain terms. In April 2024, Google was processing approximately 9.7 trillion tokens per month. By May 2025, that had jumped to 480 trillion. By October 2025, the company was approaching 1.3 quadrillion. Now, just seven months later, it’s sitting at 3.2 quadrillion.
The user metrics paint a similar picture. Gemini, Google’s flagship AI application, now has 900 million monthly active users. AI Overviews, the feature that puts AI-generated summaries at the top of search results, serves more than 2.5 billion users globally. And 8.5 million developers are building with Google’s models each month.
Pichai also noted that Google now has 13 products each boasting over a billion users.
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Processing 3.2 quadrillion tokens monthly requires hardware that doesn’t exist on the open market. Google’s answer is its custom-built Tensor Processing Units, or TPUs, purpose-engineered silicon designed specifically for the matrix math that powers AI inference and training.
Google has been building TPUs since 2016.
What this means for investors and the broader AI market
Google’s stock has more than doubled since last year’s I/O conference, according to Pichai’s presentation.
When 2.5 billion people are using AI Overviews and 900 million are engaging with Gemini monthly, the demand side of the equation is very real.
Going from 480 trillion to 3.2 quadrillion in one year means Google roughly 6.7x’d its inference volume.
With 8.5 million developers on Google’s platform, the network effects are compounding.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
