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On October 13, 2026, Google announced that developers can now use Gemini 4 Argon to build applications. This frontier model targets complex workflows such as real software engineering, enterprise knowledge work, and cybersecurity defense, and is designed for long-horizon tasks requiring deep reasoning and structural precision. Google also provided the Gemini API developer guide and entry points for using it in Google Antigravity and Android Studio. On the same day, Google disclosed an unattended experiment: letting Argon optimize the open-source framework google/adk-python, which has about 205,000 lines of code, within 11 hours. The model proposed 6 optimizations; after human review, 2 were merged into the main branch, memory session preparation time for long sessions was reduced by about 40%, and cold-start import speed improved by 21%. On October 14, Sundar Pichai called this a good summary of the safety and alignment work on Argon 4; Ethan Mollick commented that Gemini 4 is a major leap compared with previous Gemini models but still lags on complex multi-agent tasks. On October 15, Google began rolling out Gemini 4 Argon support to the AI programming tool Antigravity.
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- Source:9to5Google
- Source:Sundar Pichai
- Source:Ethan Mollick
- Source:Google Blog
- Source:Google Developers Blog
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Oct 18
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Oct 16
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Oct 15
Oct 14
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Google Gemini 4 Argon is fully open to developers worldwide
On October 13, US local time, Google Gemini 4 Argon opened to developers and enterprises worldwide, callable via platforms such as the Gemini API, Google AI Studio, and Google Antigravity; Gemini Pro and Ultra subscribers can also experience it in the Gemini app and AI Mode in Search. Google also disclosed several application cases, including using Argon to refactor a Chromium legacy code directory of about 6 million lines, raising Gemma 4 E2B inference throughput on a single A100 from about 37,900 tokens per second to over 108,000, and building a Real2Sim simulation environment from real robot teleoperation videos. Limited-time API pricing is 2 USD per million input tokens and 10 USD for output, rising to 4 USD and 20 USD respectively from December 1; the model offers a unified 1 million token context window.
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sundarpichai
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Gemini 4 Argon released, now available on AI Studio, Gemini API, and the Gemini app
Gemini 4 Argon was released and made available the same day; the official statement says it performs outstandingly in solving difficult coding tasks, complex 3D animation and models, and deep knowledge work. The model is now available in AI Studio, the Gemini API, and the Gemini app.
sundarpichai
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The New StackSelected
Google releases flagship model Gemini 4 Argon, with a shared 1 million token budget for input and output
Google has opened the new flagship model Gemini 4 Argon to developers in the paid tier of the Gemini API, Google AI Studio, and tools such as the Gemini App, with the call name gemini-4-argon. The model uses a shared budget of 1 million tokens combined for input and output, different from the 1 million output cap stated at its September 30 release; long prompts will eat into reply space. Pricing before November 30 is $2 per million input tokens and $10 for output, rising to $4 and $20 afterward, with cached input discounted 95% during the promotional period. Google says it ranks first on the Vals Index, scores 87% on ERQA, and has already been made available to coding agents in Antigravity.
Oct 13
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