gemini4

Google's Gemini 4 Carbon tops AI benchmarks and can autonomously find and fix security vulnerabilities, but it's only available to a small group of cybersecurity defenders for now with no public release date. Will Google finally let ordinary users try its No. 1 model?
$GOOGL #Gemini4 #carbon
https://aidisruption.ai/p/gemini-4-carbon-launches

The AI industry is getting into a price war too—and this time, flagship models are the first to get cheaper.

This week, Google rolled out its next-generation flagship model, Gemini 4 Argon, to developers and enterprise users. The pricing sent shockwaves through the industry: $2 per million input tokens and $10 per million output tokens, with a further 5% off cached inputs. According to Google, that’s between one-fifth and one-half the cost of competing flagship models.

But lower prices don’t mean lower performance. Google shared its results: the model ranks first on the Vals Industry Composite Index, and scored 87% on the ERQA spatial reasoning benchmark—beating every other model tested. Internal tests also turned up some impressive results: it made 12 optimizations to the YouTube comments frontend, cutting CPU overhead in half; and when auditing the same access-control code, two earlier flagship models said there were “no vulnerabilities,” while Gemini 4 Argon uncovered four serious security flaws.

My take: this is really about “offering a discount now to lock users in later.” Once a company ties its workflows to a model’s API, migration costs become a moat. Google is betting that this two-month promotional window—prices stay low only until November 30, after which they rise to $4/$20—will persuade thousands of projects to migrate. Developers are the clear winners: long-running tasks that once felt too costly to try now come with a much lower cost of experimentation. But don’t focus on price alone—some evaluations suggest the model occasionally “cuts corners” in multi-agent collaboration, skipping complicated logic and jumping straight to a conclusion. For tasks with little room for error, choosing a model still takes careful research.

Sources: Google Official Blog; BT Finance
Data as of: 2026-10-16 20:00 UTC

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Which AI provider do you rely on most right now? Does price influence your choice?

Google Throws Out Gemini 4 Argon: 18 benchmarks, 13 surpass GPT-6 Astra and Claude Opus 5.5. DeepSWE 77.9%, LVBench 91.7%, AA Index 53 ties Astra.

It’s been 7 months—Google finally returns to the frontlines at the table.

But it has nothing to do with you and me: the first batch is only for network security defenders, and must first pass U.S. government pre-approval. Pricing starts at $2/$10—countdown begins for the good days of the premium models.

$AI #Gemini4

Gemini 4 launches, drawing widespread attention to Google's new flagship AI

Google's new flagship AI, Gemini 4 Argon, went live early this morning. It performed impressively on multiple benchmarks, though its value for money remains to be seen.#AI新旗舰 #Gemini4

$GOOGLB : GOOGLE JUST FIRED UP THE AI RACE! 🤖🔥

Alphabet is back in the spotlight after unveiling Gemini 4 “Argon”, its new flagship AI model.

📌 Why traders are watching: • Gemini 4 targets advanced AI workloads, coding & cybersecurity • Google says Argon is built for more complex tasks • GOOGL moved higher after the announcement • Google Cloud + AI remain key growth areas for Alphabet

But the big question is 👀

Can Gemini 4 turn AI progress into real revenue growth while Alphabet continues spending heavily on AI infrastructure?

📊 $GOOGLB 🤖 Gemini 4 ☁️ Google Cloud 🔥 AI Race

What do you think — can Google maintain its AI momentum?

#GOOGL #Alphabet #Google #Gemini4 #AI