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Google Rolls Out Gemini 4 Argon to Subscribers
Confirmed
In Short: Google has launched Gemini 4 Argon globally for AI Pro and AI Ultra subscribers, featuring an industry-leading 1 million output token limit and top scores on professional benchmarks, according to a blog post on Google's site.
Google has launched Gemini 4 Argon globally for AI Pro and AI Ultra subscribers, featuring an industry-leading 1 million output token limit and top scores on professional benchmarks, according to a blog post on Google's site.
The model is now available via the API in AI Studio and Gemini platform for Google AI Ultra subscribers, and for Google AI Ultra and Pro subscribers in the Gemini app and AI Mode in Search.
Google announced Argon in late September with initial availability limited to the $99.99-and-up AI Ultra tier, as reported by news.lavx.hu.
Developers will get 50 percent discounted API rates through November, as noted by Ars Technica.
With zero external libraries and 100% pure Python, Argon wrote its own 3D ray-tracing engine with a custom video tool and audio mixer to build and document a sunlit library from scratch, producing, narrating, and assembling this video with Gemini 3.8 TTS voiceover and music by Lyria 3.5.
Argon excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science.
Engineers also turned Gemini 4 loose on the proprietary drone physics simulator used in Project Wing, and the AI found critical bugs that had been in the codebase since 2018.
Argon identified redundant emoji rendering that, when eliminated, dropped server load by 45 percent, as reported by Ars Technica.
After tracing production profile data, Argon found that redundant emoji rendering alone drove nearly 45% of server overhead, and it produced 12 targeted optimizations, according to news.lavx.hu.
Google has also revealed that Google employees are internally testing additional Gemini 4 checkpoints.
Recent Antigravity changes introduce references to the model in its selector alongside three context configurations: 256K by default, 512K consuming approximately 1.3x quota per turn, and 900K consuming around 1.8x quota per turn.
For a while now, I’ve relied on @GeminiApp and @antigravity agents across a wide range of use cases—spanning creativity, productivity, and analysis.
What's confirmed
- For everyday users, Gemini 4 Argon is rolling out inside the main Gemini app and Google Search AI Mode, but only if you pay for AI Pro at $20 a month or AI Ultra starting at $99.
What's still developing
- Argon in Antigravity wrote Python scripts to procedurally sculpt, rig, animate, and PBR-bake a complex 3D game using multi-agent visual critique loops then wired it for the web in Three.js with GLSL shaders, shatter physics, and a single-player AI.
- Argon in Antigravity has helped teams increase agentic code submissions by more than 35% while reducing code rollbacks by nearly a third.
- Its depth and precision across multi-step tasks leads Argon to outperform other frontier models on benchmarks across domains, ranking #1 on the Vals Index, which measures model performance across critical economic sectors like finance, coding, legal, and tax work.
- Teams at Google, across enterprises, and in the research community have already been using Argon to land significant impact across fields: At Google, we’ve been using Argon on our hardest engineering problems.
- The desk objects, room and race track were modeled and collision-checked using Blender MCP, textured with Nano Banana, and wired with physics, custom shaders, and car engine audio from Gemini Omni Flash in Three.js.
- That promotional rate only runs through November 30, after which pricing doubles to $4 per million input tokens and $20 per million output tokens.
- Dettagli Il 13 ottobre 2026 Logan Kilpatrick, che in Google segue AI Studio e l'API di Gemini, ha pubblicato su X un messaggio di una sola parola, «Gemini» e da quel momento circola la voce che Gemini 4 Argon stia per arrivare agli abbonati Google AI Ultra.
- Il secondo post di cui si parla sopra è quello di Pankaj Kumar, che dà Argon in arrivo oggi e si appoggia a tre indizi, ossia il tweet di Logan, alcuni riferimenti a Gemini 4 Argon nell'ultimo aggiornamento di Antigravity e della sua CLI, più una voce di Argon nella pagina dei prezzi (SKU) di Google.
- Quanto ad Antigravity, TestingCatalog scrive che Google lo sta preparando per Argon, ma senza una data di rilascio.
- Working with Google's open-source Agent Development Kit, Argon ran autonomously overnight and found optimizations that cut session preparation time by 40 percent and sped up cold imports by 21 percent.
- External red teaming in the bio domain bypassed fewer than 1 percent of tested safety checks, and on an adversarial set, violations dropped by nearly half compared to earlier Gemini models.
- Users describe what they want, and Gemini 3.1 Pro handles the technical implementation.