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Alphabet Unveils Gemini 4 Argon After Delays, and Bets on Price

Alphabet (NASDAQ:GOOG) has a new flagship AI model, and it took months longer than promised. Argon tops the Gemini 4 generation and is bigger than Google’s earlier Pro-tier models. Google says it matches OpenAI’s Astra and Anthropic’s Opus on key coding and cybersecurity tests, which matters because Alphabet had been slipping behind both rivals.

A Launch With Fine Print

Argon is not available to everyone yet. Google is giving it to select cybersecurity partners, taking part in the Trump administration’s voluntary pre-release access process, and offering no public release date. The scorecard is also mixed. Google’s own results show Argon beating Astra and Opus on several benchmarks, but it trails on two of the four coding tests the company included. Self-reported numbers only go so far, and Jefferies analyst Brent Thill says investors still need to see whether the results hold up outside benchmark testing.

The delay was costly. Google scrapped Gemini 3.5 Pro, which Sundar Pichai had said would arrive in June. Meanwhile, DeepMind’s founder and chief executive, Demis Hassabis, stepped aside and several Gemini leaders left, while Anthropic and OpenAI kept releasing new versions of their top models.

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Competing On Price Instead

Google’s messaging has shifted from cutting-edge capability to cost. Argon is priced at $2 per million input tokens and $10 per million output tokens, with cached input tokens discounted 95%. Thill calls the pricing a particularly important competitive move. He notes it comes in at about half the cost of some rival models and could force competitors to adjust. He argues that pressure falls hardest on standalone models and makes the broader platforms around them more important.

Developers hop between models today based on price, speed and performance, but Thill does not expect that to last. In his view, enterprises need AI wired into their applications and data, which favors the companies with the broadest platforms. Google’s reach across its products gives it many ways to deliver that.

The Cloud Business Carries the Weight

The infrastructure side tells a stronger story than the model race. Google Cloud revenue grew 82% year over year to $24.8 billion in Q2, and customers have lined up a $514 billion backlog, so demand shows no sign of cooling. Cloud now makes up a little more than 20% of Alphabet’s revenue, and its share of the cloud market has climbed to 14% from 12% at the end of 2025. Nearly 90% of Fortune 100 companies already use Gemini Enterprise.

Keeping up is expensive. Alphabet projects 2026 data center capital spending of $195 billion to $205 billion. It is also becoming a chip supplier, selling TPUs that Google designs and Taiwan Semiconductor Manufacturing builds.

What Does Wall Street Think?

The number of hedge funds holding Alphabet rose to 275 in the latest quarter from 265 in the prior one, so more institutions are adding the stock even after a rocky model cycle. The stock trades at 21.79 times forward earnings, which means the market is already paying for steady earnings growth.

What Still Needs Proving

Argon shows Google can still build a frontier-class model, but not yet that it can win with one. Without a public release date, the model’s performance outside Google’s own benchmarks is untested. The cloud growth also has to keep arriving to justify the heavy data center spending. Public availability and customer usage will show whether price and distribution can stand in for a clear lead.

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READ NEXT: Oracle vs. Alphabet: Which AI Cloud Stock Is the Better Buy? and Amazon (AMZN) Calls for AI Safeguards Without a Slowdown. Can AWS Benefit?

This article is originally published at Insider Monkey.