Gemini 4 Argon explained: what Google has said so far
Google DeepMind's new model is reaching cyber defenders first, with paid access for developers and AI Ultra subscribers to follow.
The answer
Google DeepMind announced Gemini 4 Argon on 30 September, rolling it out first to cyber defenders.
Google has released a new top-tier AI model, Gemini 4 Argon, but you probably can't use it yet. It is going first to a small group of security specialists, with wider access promised "soon".
What happened
On 30 September 2026, Google DeepMind announced Gemini 4 Argon. It is the company's first new frontier model generation since Gemini 3. A frontier model is one of the most capable systems a lab has built. Google says Argon is aimed at long-horizon coding (big programming jobs that take many steps), legal and finance work, and cyber defence.
Google is rolling it out in stages:
- First to trusted cyber defenders in Google's Fairwind Program, and to the US government before public release.
- Then to paid API users (developers who build the model into their own apps) and Google AI Ultra subscribers.
- A broader release to developers, enterprises and consumers is "coming soon".
Argon can now write up to 1 million tokens in one response, up from 64K. Tokens are the small chunks of text a model reads and writes. Google bills this as industry-leading.
Introductory pricing is $2 per million input tokens and $10 per million output tokens, with cached input (text the model has seen before) 95% cheaper. After the introductory period, the price rises to $4 for input and $20 for output per million tokens.
Google also shared benchmark scores, which are standard tests for comparing models. These are the company's own figures:
- DeepSWE v1.1 (coding): 77.9%.
- CWE-bench v1 (fixing software vulnerabilities): 68%, tied for first.
- AutomationBench: first place at 51.3%.
- LVBench (long video): 91.7%.
- It also says Argon leads the Vals Index across finance, coding, legal and tax, and leads Gray Swan's test of resistance to prompt injection, where hidden instructions try to trick a model.
Google positions Argon against OpenAI's GPT-6 Astra and Anthropic's Claude Opus 5.5.
Koray Kavukcuoglu, Google DeepMind's SVP and Chief AI Architect, wrote in the launch post: "Argon is helping our quantum computing researchers optimize the spacetime resources (qubits × gates)"
What it means for you
If you use Gemini in the consumer app, nothing is confirmed for you yet. Google has given no date for the consumer release.
If you pay for Google AI Ultra or use the paid API, you are in the second wave of access. If you build software, the pricing matters. The $2 and $10 rates are introductory, and Google has said they will double afterwards.
Treat the benchmark results with care. They come from Google, not independent testers. CNBC asked whether Argon can catch the frontier. One analyst told the outlet that "the final proof will be in enterprise production environments once the model is fully released". Bloomberg also reported that some Google employees privately doubt its real-world coding ability. Google has not confirmed that report.
What happens next
Google says broader developer, enterprise and consumer access is coming, but it has not given dates. Real-world results from businesses using Argon after full release will show how it compares with GPT-6 Astra and Claude Opus 5.5.
Sources
- Gemini 4 Argon — Google, 30 September 2026
- Can Google's new model really catch up to OpenAI and Anthropic at the frontier? — CNBC, 2 October 2026