Gemini 4 Argon is now available to Google AI Pro and Ultra subscribers in the Gemini app and AI Mode in Search. Google announced the wider release on October 13, expanding the model beyond its earlier limited access. Developers and enterprise customers can also use Argon through the Gemini API, AI Studio, and Google's business platforms.
Where Gemini 4 Argon is available
For everyday users, the main change is that Argon can be selected in the Gemini app and used through Search's AI Mode, provided the account has an eligible Google AI Pro or Ultra subscription. The model is not included in the free Gemini tier. Google says Argon is designed for complex, multi-step work involving coding, finance, legal research, cybersecurity, and science.
Developers can access the model using the ID gemini-4-argon through the Gemini API and Google AI Studio. Google's developer documentation lists a context window of up to 1,048,576 tokens and says long outputs can reach up to 1,048,576 tokens when long-decode mode is used. The default synchronous maximum output is lower, so the million-token figure should not be read as the standard output limit for every request.
A wider rollout, but not free access
The launch expands the number of places where people can use Argon, but access still depends on the product and subscription. Google's official announcement says AI Pro and Ultra subscribers can use it in the Gemini app and Search AI Mode, while developers and enterprises have separate API and platform access.
Google is positioning Argon as a model for difficult, longer-running tasks rather than just quick chat. Its claims about benchmark performance come from Google's own evaluations, so they should be treated as company-reported results rather than independent proof that Argon is best for every task.
This release follows Google's broader Gemini model rollout, including three new Gemini models and an early tease of Gemini 4. Saganote has also covered the model's one-million-token output capability and coding benchmarks and access status.
The subscription distinction matters because Google has also changed what users can access for free. Its Gemini free-tier limits and current Google AI Plus, Pro, and Ultra pricing help explain which features require a paid plan. Argon availability may also differ by product: Google's Gemini API documentation lists API access and technical limits separately from consumer-app availability.
Google's expanding product lineup includes the NotebookLM-to-Gemini Notebook transition and its plans for Gemini models in more workflows. Previous coverage has also examined delays around Gemini 3.5 Pro and Google's reported Gemini 3.5 Pro launch timeline. Those stories provide context for how Google is bringing newer models to users, but they do not change Argon's current eligibility requirements.
For users choosing a plan specifically for Argon, the key point is simple: Google has expanded access to its Gemini app and Search AI Mode, but free users should not expect the same model availability.
