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Sundar Pichai has a '950 million answer' to Meta AI head Alexandr Wang who seemingly does not know 'who Google Gemini is'

Times of India Published Jul 24, 2026 Reviewed Jul 24, 2026 ✓ Reviewed by citations.press editors
Sundar Pichai has a '950 million answer' to Meta AI head Alexandr Wang who seemingly does not know 'who Google Gemini is'
Alphabet reported $119.8 billion in second-quarter revenue, a 24% year-over-year increase, marking its first 12-figure quarterly profit.
119800000000 USD · Alphabet second-quarter revenue24 percent · Alphabet year-over-year revenue growth
The Gemini app reached 950 million monthly active users as of Q2 2026.
950000000 users · Gemini app monthly active users
Google’s model APIs processed approximately 22 billion tokens per minute in Q2 2026, up from 16 billion+ the prior quarter.
22000000000 tokens per minute · Google model API token processing rateat least 16000000000 tokens per minute · Google model API token processing rate
Gemini Enterprise is used by 90% of the Fortune 100 companies.
90 percent · Fortune 100 companies using Gemini Enterprise
More than 9 million developers built with Google’s AI models each month in Q2 2026.
more than 9000000 developers · monthly active developers using Google AI models
The Gemma family of open models has been downloaded over 900 million times total.
more than 900000000 downloads · Gemma family of open models total downloads
Gemma 4 models have been downloaded over 300 million times since launching in April 2026.
more than 300000000 downloads · Gemma 4 models total downloads
Antigravity, Google’s agentic development platform, had more than 2.4 million weekly active users in Q2 2026.
more than 2400000 users · Antigravity weekly active users
A Chrome team using Antigravity accelerated delivery by eight times, compressing a two-year timeline into three months.
8 x · Chrome team delivery acceleration factor
Daily active users creating videos on the Gemini app increased by 40% since its launch at I/O in May 2026.
40 percent · Gemini app daily active video creators growth

Google has just posted a 'historic' quarter. Alphabet made history Wednesday with a quarterly profit that stretched into 12 figures for the first time in the search giant’s history. Google-parent Alphabet’s second quarter revenue increased by a very impressive 24%, to $119.8 billion, with the Google Cloud business reaching an 82% growth.

CEO Sundar Pichai called Google's Q2 results proof that the company’s "full stack approach to AI is delivering real, measurable value."Pichai also shared some impressive figures that got accolades from Tesla CEO and the world's richest man Elon Musk. "Q2 was an amazing quarter, with our AI investments redefining what’s possible across every part of our business.

Alphabet revenue grew 24% YoY and Google Cloud accelerated to 82% growth. We saw exciting momentum across the board from Search to YouTube to the Gemini app (which reached 950M monthly active users). Our model APIs are processing 22B tokens/min (up from 16B+ last quarter) driven by our workhorse Flash models.

We’re also seeing great adoption of Gemini Enterprise, used by 90% of the Fortune 100, as well as strong demand for our security solutions. Outstanding results and momentum, and such an exciting moment—thanks to all of our partners and employees around the world! 🙌 About to hop on the call!," wrote Pichai.

To this Musk responded "Impressive".Google CEO's numbers on Gemini app should also answer Meta AI CEO Alexandr Wang, who recently shared a graph making fun of Google Gemini. Wang reposted a Twitter post that said that Meta is 'beating' Google Gemini hard. He captioned it with two words: "Gemini who".The post Wang reposted said: "Google getting beaten by @alexandr_wang this early, when Meta's new AI team is tiny in comparison, is absolutely embarrassing for Google." Sundar Pichai on Google's AI progressIn a blog post, Pichai said the rapid growth of the Gemini app has been fuelled by new AI-powered features such as Daily Brief and the personalised Gemini Spark assistant, which is now available in the US and several international markets.

Here's what he wrote:Yesterday we announced new models — Gemini 3.6 Flash and Gemini 3.5 Flash-Lite — which are cost effective and highly efficient. We’re seeing tons of demand for our workhorse Gemini Flash series, because it hits the sweet spot of performance and cost.We also launched Gemini 3.5 Flash Cyber, which I’m really excited about.

Paired with our CodeMender agent, it finds and fixes vulnerabilities and delivers performance at the frontier, comparable to far bigger cyber models.Gemini 3.5 Pro is currently in testing. And our team is already building the next generation of models. We have started our most ambitious pre-training run yet, for Gemini 4, and are excited by the progress we are seeing at the frontier.Demand for our models is translating to strong token usage across developers and enterprise customers, and we continue to be supply constrained — a sign of momentum and rapid adoption.More than 9 million developers are building each month with our models across our APIs and key developer products.

Our model APIs are now processing approximately 22 billion tokens per minute. That’s up from 16 billion just a quarter ago.Additionally this quarter, we launched Omni. It allows users to create anything from any input, starting with video. Since launching at I/O in May, there’s been a 40% increase in daily active users creating videos on the Gemini app.Our Gemma family of open models small enough to run on local devices are hugely popular — these models have been downloaded over nine hundred million times.

And our latest Gemma 4 models have been downloaded over 300 million times since launching in April.Our agentic development platform Antigravity allows anyone to build in the agent-first era. It has more than 2.4 million weekly active users. Antigravity is a powerful tool for users and enterprises, and it’s completely accelerated how we build internally.

As just one example, a team in Chrome is now on track to accelerate delivery by eight times, compressing a two-year timeline into three months through model-driven refactoring.Get the latest technology news and updates. Download the TOI App.

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