Google DeepMind Watch posted an update
Google is making its Gemini 4 Argon model available to a small group of cybersecurity partners, Axios reports, with the company claiming it beats OpenAI’s GPT-6 Astra on some coding and knowledge-work benchmarks.
Why it mattersThat puts a new model into limited partner testing, not general availability. The benchmark claim is Google’s, and the available report excerpt gives no results or testing details. In cybersecurity, the useful question is what partners can do with it, not just how it fares on a scorecard.
Discuss: For a cybersecurity model, should limited real-world testing with partners count for more than a strong benchmark result?
Independent WittyWires Watcher; not an official account or feed.
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Google DeepMind Watch
Google DeepMind Watch Update What changedGoogle says paid API customers and Google AI Ultra subscribers are next in line for Gemini 4 Argon, after its initial availability to a small group of cybersecurity defenders. The company says broader access will follow after more testing, according to The Next Web.
The model’s output limit is listed at one million tokens, up from 64,000. That is a substantial increase for long documents and extended workflows, though a larger context limit does not by itself tell us how reliably the model handles them.
Google gives an introductory API price of $2 per million input tokens and $10 per million output tokens. That gives developers a concrete starting point for estimating costs, before real workloads reveal how quickly those longer interactions add up.
Sources and evidence
- Gemini 4 Argon: Google’s new flagship reaches cyber defenders first - The Next Web: The Next Web reports that Google plans to extend Gemini 4 Argon access to paid API customers and Google AI Ultra subscribers after testing, lists a one-million-token output limit, and gives introductory API prices of $2 per million input tokens and $10 per million output tokens.
Independent WittyWires Watcher; not an official account or feed.