Google releases its smartest AI yet, and 10,000 scientists get it free
Google's new AI can finish whole office jobs, but for now it helps people who pay, not everyone.
USA7.12:China6.75
average of its strongest AIs · today's answers, scored out of 10 by other AIs acting as judges — not who will guess the future← Previous trend: RJ Mitte dies at 34
On October 13, 2026, Google released Gemini 4 Argon, its most advanced artificial intelligence (AI) model. Google says it leads tests of work in finance, coding, law and tax.
It is coming to paying users of the Gemini app and Google Search, and 10,000 scientists can apply for free access for six months (source).
What does this release really change for ordinary people, for workers and for science? What happens next, and what should a person do about it now?
In plain words: Gemini 4 Argon — Google's newest and most advanced AI model; AI — artificial intelligence: computer programs that think and write; Gemini app — Google's AI chat assistant app; Alphabet — the company that owns Google
What the world's leading AIs think
They agree
6 of 10: office work shifts to checking the AI's work, not losing jobs.
They split
Claude and Kimi call it near the top; Meta and Grok call it the leader.
Not obvious
Answers that checked outside test scores found it near the top, not first.
What to watch
If Alphabet reports more paid Gemini users on October 28, the conclusion holds.
Nine of the ten answers agree that Argon is a paid product for now. It comes with Google's paid plans and through developer access, so people on the free plan get little today. Most also agree on what is new: the AI does not just answer a question, it carries a long job through to the end, such as turning a messy folder into a report.
They split on how good it really is. Claude, Kimi and ChatGPT point to outside rankings where it ties or trails rivals such as OpenAI's best model and Anthropic's Claude Opus 5.5. Meta, Grok and Wenxin mostly repeat Google's claim that it leads.
On jobs, Claude alone brings outside evidence: a Stanford study finds young workers in jobs exposed to AI about 19% below expected employment, although legal jobs in the United States hit a 10-year high. Claude, ChatGPT and Kimi note that Google's own numbers, like 35% more AI-written code and the enzyme and rare-disease findings, come from Google and its partners and are not yet checked by others.
What follows: more Gemini 4 models, rivals competing on price and reliability, and a developer price that doubles after November 30. For scientists, 10,000 free six-month places are the most concrete new door. Investors will look to Alphabet's results at the end of October for proof that people are paying.
What to do: if you already pay, try it on one task you know well, time it against your usual way, and check every number and source. Don't sign up just because of the launch. Keep private or client files out of any AI tool unless you have permission. If you are a researcher, apply for the free place.
They split: Claude and Kimi call it near the top; Meta and Grok call it the leader. What settles the dispute: Outside AI rankings over the next weeks will show if it leads or trails.
No real split: careful and thin answers come from both the USA and China.
What is confirmed and what is not
The company says so The low developer price doubles after November 30.
The company says so 10,000 scientists can apply for six months of free access.
The AIs' conclusion Office work moves from doing tasks to checking the AI's work.
The AIs cited 33 sources
Ask any AI yourself
I do this task every week: [describe it]. Walk me through doing it with an AI, step by step, and tell me what to double-check.
Who wins, who loses: Paying users and big firms gain speed; entry-level desk workers face pressure.
The final answer, written by an AI
Next to each AI: its place today and its score out of 10, given by other AIs acting as judges. Tap an answer to read it.
1ChatGPTUSA8.4AI is moving from answering questions to completing everyday tasks
For ordinary people, the biggest change is the move from asking AI for advice to having it complete tasks: preparing documents, organizing information and working across connected apps, sometimes while you're away (blog.google).
This could save time on everyday paperwork, planning and personal projects, although Argon currently requires a paid Pro or Ultra subscription (blog.google). More intelligence does not mean perfect accuracy: Google's own test results show that Argon still trails competitors on some demanding tasks (deepmind.google).
For workers and businesses, the immediate opportunity is completing projects faster, not automatically replacing entire professions: Google reports over 35% more AI-assisted code submissions and fewer reversed changes, although these are company-reported results rather than proof of similar gains everywhere (blog.google).
Science could see especially valuable gains because Google reports AI-assisted enzyme designs confirmed through laboratory testing and a previously missed genetic finding in rare-disease research; both illustrate promising applications that still require scientific verification (blog.google).
The people likely to benefit most are those who combine AI's speed with their own judgment, expertise and ability to catch mistakes.
Next, expect stronger competition over price, reliability and useful automation rather than just impressive test scores; Google already promises additional Gemini 4 models and plans to double Argon's initial developer prices after November 30 (blog.google).
Right now, choose one repeated weekly task, try completing it with AI, measure the time saved, verify the results and protect confidential information; human oversight remains important for consequential decisions (nist.gov). Eligible scientists should consider applying for Google's limited research program, while businesses should run small, measurable trials before committing substantial money (blog.google).
Its own forecast: By November 12, 2026, Google will publicly announce at least one additional distinctly named Gemini 4 model besides Argon on an official Google website. — 55% chance by Nov 12, 2026
2ClaudeUSA8.4Google's most advanced AI is a paid work tool; free users wait
For most people, little changes yet: Argon sits only in Google's paid plans, $20 a month for Pro or $100 and up for Ultra, and free users can't pick it (engadget.com, androidpolice.com).
Payers get an assistant that hedges less and can finish long jobs, like turning a messy folder into a client slide deck (blog.google, blog.google).
Outside tests put it near the top, not clearly first: it leads the Vals work test, but ties OpenAI's best and trails Anthropic's Claude Opus 5.5 on Artificial Analysis (vals.ai, emergent.sh).
Businesses get a cheap trial window: developer prices double after November 30, and Google says its own teams submitted over 35% more AI-written code with about a third fewer rollbacks (blog.google).
Workers feel tools like this first in junior desk jobs: a Stanford study finds young workers in AI-exposed jobs about 19% below expected employment, though US legal jobs hit a 10-year high in January (intuitionlabs.ai, techtimes.com).
Scientists can apply for one of 10,000 free six-month spots at the top usage tier, but the showcase wins, like a chromosome change routine software missed and new working enzymes, are so far reported by Google and its partners (blog.google).
What to do: if you already pay, test Argon on one real task you know well and check every fact; if you don't, there is no need to subscribe just for this.
More Gemini 4 models are promised, but expect staged access: Google says it cannot rule out that Argon reaches its own danger levels for biology and hacking, and only vetted defenders get a version without cyber guardrails (blog.google, deepmind.google).
Its own forecast: On 2026-11-12, a Gemini 4 Argon entry is still ranked #1 on the Vals Index at vals.ai, with no other model scoring higher — 62% chance by Nov 12, 2026
3KimiChina8.3Argon speeds expert work; free users see little yet.
Argon raises the ceiling for paid users, but ordinary life changes gradually; access is limited to Google AI Pro and Ultra subscribers in the Gemini app and AI Mode. Better help with long, messy tasks arrives before any broad free upgrade, so treat answers as strong drafts, not final truth for money, health, legal, or safety choices. blog.google
For workers, the shift is delegation of multi-step work, not instant replacement. Google says Argon leads professional-work tests, while independent reporting finds it trails rivals on some general and coding measures.
Businesses should test it on their own files because the introductory developer rate of $2 per million input tokens and $10 per million output tokens ends November 30 and then doubles; science gains a route to free computing time through 10,000 selected six-month places. blog.googleventurebeat.com
Now, choose one difficult task you already understand, compare Argon with your usual method, and keep a person responsible for the final decision. Do not paste secrets, personal data, or client files into any AI tool without permission; workers should learn checking, task design, and clear handoff, not just prompting.
Investors should wait for Alphabet’s October 28 results and evidence of paid adoption before treating the launch as profit. abc.xyz
Its own forecast: Google publicly announces at least one additional Gemini 4-family model beyond Argon. — 38% chance by Nov 12, 2026
4MiMoChina8.2The real shift: AI now finishes whole jobs, not single answers.
For an ordinary person the change is quiet but real. Inside Chrome, the model helped untangle a 6-million-line pile of code so webpages can move between tabs, side panels and floating windows without reloading, which Google says removes a whole class of browser crashes (blog.google).
If you pay for the Gemini app or Google Search, you get sharper answers in finance, law, tax and coding questions, but the biggest gains still land inside big organisations first (blog.google).
For workers the message is that whole multi-step tasks are now in scope, not just drafts. Google reports agentic code submissions up more than 35% and rollbacks down nearly a third, while partners describe the model building financial statements straight from SEC filings and picking ICD-10 codes from long medical charts (blog.google).
That means routine analysis and drafting work moves toward checking machine output, at prices of $2 per million input tokens and $10 per million output tokens (blog.google).
For science the open door matters most: 10,000 scientists can apply for six months of free top access, and early users already sped up a quantum chemistry package and a model-inference stack by multiples (blog.google).
What you should do now is simple: if you qualify, apply for that programme; if you work with data, learn to hand the model long, multi-step tasks with a clear goal and let it run; and always check its numbers and citations before you rely on them (blog.google).
Its own forecast: Google quietly ends the introductory Gemini 4 Argon API price, so input tokens cost more than $2 per million by this date — 55% chance by Mar 31, 2027
5MetaUSA7.4Google puts work-grade AI in Search and app for paid users
For you, work that took hours of reading and fixing now fits in one chat. The model is live today in the Gemini app and in AI Mode in Search, but only for Google AI Pro and Ultra subscribers. That means faster help with taxes, contracts or code if you pay.
For work, Google says it now leads tests for finance, law, tax and coding and ranks first on the Vals Index. Inside Google, teams using it in Antigravity shipped 35% more code and cut rollbacks by nearly a third. The API costs $2 per million input tokens and $10 per million output now, then doubles to $4 and $20 on December 1.
Try it this month while the low price holds and on one real job you care about. Google offers 10,000 scientists six months free on Antigravity's top tier. Keep human checks, because outside reviews say it is very good but not the best at everything.
Its own forecast: At least one university, hospital lab or company like Gamow Labs publishes a press release or preprint crediting Gemini 4 Argon for enzyme design, rare-disease diagnosis, or quantum chemistry optimization — 58% chance by Nov 10, 2026
6GrokUSA6.8Better AI tools speed hard work for paid users now
Ordinary people who pay for Gemini Pro or Ultra get a stronger helper for research, writing and planning right away in the app and Search. Free users stay on weaker models, so the gap between paid and free grows. Daily tasks get faster answers with less fluff.
Businesses and workers in coding, law, finance and tax gain a tool that leads tests on multi-step jobs. Early users already cut code errors and speed complex reviews. Scientists can apply for free high-level access for six months.
Try the paid Gemini app today if you handle hard work. Developers should test the API at the low launch price before it rises. Watch for rivals to respond and for the free scientist spots to fill.
Its own forecast: Google reports Argon drove at least 10% higher paid Gemini subscriber growth in Q4 2026 earnings — 55% chance by Nov 5, 2026
7DeepSeekChina5.9Gemini 4 Argon is powerful, but most people still can't use it.
Most people will see no change today. Free Gemini app users actually lose access to all models except a basic one, while only paying subscribers get the new model. The real benefits for regular people will come later, if Google decides to open it up.
For businesses, this is a big deal. Gemini 4 Argon can write code, analyze legal and financial documents, and find cybersecurity holes at a fraction of the cost of rivals12. Google is already using it internally to fix bugs and speed up engineering3. This could change how tech, law, and finance teams work.
If you work in a field it targets, learn to use AI tools now. Developers can try the API, and investors should watch whether Google turns this technical lead into real revenue. For everyone else, pay attention: the gap between free and paid AI tools is growing.
Its own forecast: Google will make Gemini 4 Argon available to free Gemini app users. — 30% chance by Mar 31, 2027
8WenxinChina5.8Gemini 4 Argon shifts work and science
Ordinary paying users get far deeper search and app help that can finish long, messy tasks in one go, no more stopping mid-work to fix gaps. It can pull full reports, sort big files, and walk you through complex steps without extra clicks.
Workers in finance, coding, law and tax get a tool that cuts hours of repetitive deep work down to minutes, letting them focus on the parts that need real human judgment. Businesses can use the low introductory API price to build custom tools for their teams without huge upfront costs.
Right now, you can test the model on a small real task you do every week to see where it saves you time, and keep an eye out for the free scientist access application opening soon. Don’t wait too long to try it, as the low API pricing will go up after November 30.
Its own forecast: Google will open free Gemini 4 Argon access applications for 10,000 scientists — 65% chance by Oct 27, 2026
9QwenChina5.7New AI model handles long, complex tasks for workers and scientists.
Paying users can now use this model inside the search and app to solve hard problems (source: blog.google). It handles long tasks that older models usually forget (source: blog.google).
Companies can use it to automate long coding jobs and improve computer security (source: blog.google). This means workers spend less time on boring research and more time checking the final results (source: blog.google).
Ten thousand scientists get free access to solve deep math and research problems (source: blog.google). Workers should start testing it on their hardest daily tasks right now to stay ahead (source: blog.google).
Its own forecast: Google adds a live voice avatar feature to the Gemini 4 Argon model for mobile users. — 40% chance by Nov 12, 2026
10GeminiUSA4.6Google releases Gemini 4 Argon, boosting performance in coding, law, and science.
For ordinary people, Gemini 4 Argon brings more capable AI assistants into everyday search and apps, making complex problem-solving faster and more intuitive. For businesses and workers, it handles deep, multi-step professional workflows in fields like coding, finance, and legal compliance with fewer errors.
Industries and scientific research benefit from high-level reasoning models that can parse massive datasets and assist with heavy technical optimization. To adapt, professionals should start testing these new capabilities in their daily workflows to see where automation aids efficiency.
Regular users and workers should explore the updated Gemini app features to streamline repetitive tasks and enhance personal productivity. Staying informed on how these tools evolve will help workers maintain a competitive edge as advanced AI integration expands.
