Google’s most capable AI model is here. What’s new, how it compares with GPT-6 Astra, where to use it in India, and what it costs

Google has launched Gemini 4 Argon, which it calls its most capable AI model yet. Released on October 13, 2026, it promises stronger reasoning, much better coding, and a new “tasks” mode that lets Gemini keep working on a job even after you close your laptop. It also arrives at an interesting moment, just two weeks after OpenAI shelved GPT-6.1 Astra over safety concerns. Here’s what the new model can do, how it compares with its rivals, and how you can use it in India.

Quick Answer

Gemini 4 Argon is Google’s newest and most capable AI model, available from October 13, 2026. In India, you can use it in the Gemini app with a Google AI Pro (₹1,950/month) or Google AI Ultra subscription; it is not available on the free plan. Developers can access it through the Gemini API at an introductory price of $2 per million input tokens and $10 per million output tokens until November 30, 2026. Key upgrades include a 1-million-token context window, stronger coding, and a new tasks mode for longer, hands-off work.

What Is Gemini 4 Argon?

It is the top model in Google’s Gemini family, built for harder reasoning in coding, maths, science and multi-step “agentic” tasks, where the AI plans and carries out a series of actions for you.

According to Google’s announcement, the new model gives more direct answers with less hedging, repeats itself less, avoids clichés, and shares progress more clearly during long tasks.

Key Features

1. A huge 1-million-token memory

The model can work with about 1 million tokens at once, roughly several long books or a large codebase in a single conversation. According to Google’s developer documentation, it accepts text, images, video, audio and PDFs as input.

2. Very long answers

By default, a single response can be up to about 65,000 tokens, and developers can stretch this much further for large jobs such as writing long reports or generating big chunks of code.

3. Adjustable thinking

Developers can choose low, medium or high “thinking” levels, trading speed and cost against reasoning depth.

4. Tasks mode

A new toggle in the Gemini app switches from normal chat to tasks. In this mode, Gemini can keep working across your Google apps even when you step away from your computer.

5. Better coding

Google says coding has improved significantly. Users can switch between chat and coding through Google’s Antigravity agentic coding interface, now built into the Gemini app for Mac.

6. Connected apps

Gemini can now connect to more than 40 apps, including Instacart, OpenTable, Adobe and Shopify.

Gemini 4 Argon vs GPT-6 Astra vs Claude Fable 5.1

Google published benchmark results comparing the new model with the current top models from OpenAI and Anthropic. Here are some of the highlights, as reported by Emergent from Google DeepMind’s model card:

What this means: Google’s model leads clearly on long documents, automation and finance tasks, while GPT-6 Astra still wins on some advanced coding and computer-use tests. Keep in mind these figures were published by Google, so independent testing over the coming weeks will give a fuller picture.

How to Use Gemini 4 Argon in India

Tip for Jio users: Jio has been offering eligible customers on 5G plans of ₹349 or more 18 months of Google AI Pro at no extra cost, according to LLMWise. If you’re on Jio, check the MyJio app before paying. Offer terms can change, so confirm eligibility first.

To try it: open the Gemini app, sign in with your subscribed Google account, and select Argon from the model picker at the top.

Gemini 4 Argon API Pricing

Thinking tokens are counted as output, and repeated (cached) input gets a 95% discount. Developers testing the model now get it at half the regular price.

Why Gemini 4 Argon Matters

The timing is significant. Two weeks ago, OpenAI held back GPT-6.1 Astra after safety tests. Google has now released a model that matches or beats GPT-6 Astra on several important tests, putting Google back at the front of the AI race. Interestingly, Google’s own cloud now sells OpenAI’s GPT-6 models too, as explained in our article on OpenAI Models on Google Cloud.

For users, the bigger shift is the move from chatbots to agents. With tasks mode and connected apps, Argon is designed not just to answer questions but to get work done. That makes the safety questions raised by the Astra story even more relevant: the more an AI can do on its own, the more important it is that it stays within the limits you set.

Also read: OpenAI Shelves GPT-6.1 Astra

Also read: Free AI Tools for Students

Frequently Asked Questions

What is Gemini 4 Argon?
It is Google’s most capable AI model, launched on October 13, 2026, with stronger reasoning, better coding and a 1-million-token context window.

Is Gemini 4 Argon free?
No. In the Gemini app, it requires a Google AI Pro (₹1,950/month in India) or Google AI Ultra subscription. It is not available on the free plan.

Is Gemini 4 Argon better than GPT-6 Astra?
According to Google’s published benchmarks, it leads on several tests such as long-document understanding and automation, while GPT-6 Astra scores higher on some advanced coding and computer-use tests.

How much does the Gemini 4 Argon API cost?
$2 per million input tokens and $10 per million output tokens until November 30, 2026, then $4 and $20.

Can I use Gemini 4 Argon in India?
Yes. It is available in the Gemini app in India for Google AI Pro and Ultra subscribers.

Conclusion

Gemini 4 Argon is Google’s strongest answer yet to OpenAI and Anthropic, with a 1-million-token memory, much better coding, a new tasks mode and support for more than 40 connected apps. Google’s own benchmarks show it leading in several important areas, though not all, and independent tests will tell the full story. For Indian users, access starts at ₹1,950 a month with Google AI Pro, and Jio customers may be able to try it at no extra cost. For developers, the introductory API pricing until the end of November is a good chance to test it affordably.

My take: In my view, Gemini 4 Argon is an intriguing step towards AI systems that go beyond merely answering questions and can help complete genuinely complex tasks. I believe models like this could be very useful in areas such as technical training, data engineering, research and everyday professional workflows. However, I would not choose an AI model simply because it tops certain benchmarks or comes with impressive features. Before paying for a subscription, I would carefully evaluate its accuracy, reliability, safety, practical usefulness and the overall value it offers.

I am particularly interested in task-oriented AI agents, though I believe they must operate within clearly defined boundaries and remain accountable for their actions. Personally, I would start by making the most of the tools I already have, and move to a more advanced model only if it delivers a clear, measurable benefit. The future may not belong to the most powerful AI, but to the AI that helps us work more effectively, earns our trust and respects our control. I would conclude by saying: “Don’t pay for AI because it is powerful; pay for it because it makes a meaningful difference to what you can achieve.”

Over to You

Would you pay for Gemini 4 Argon, or are free AI tools good enough for your needs? Share your thoughts in the comments below.