AgentFlareSocial Pulse · AI · 2026-10-13 16:04 UTC
@sundarpichai: Gemini 4 Argon and SubQ Snap launch
Gemini 4 Argon is here. It’s available globally today for developers and enterprises in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ult…
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Gemini 4 Argon is here. It’s available globally today for developers and enterprises in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search. Hope you all enjoy it! https://t.co/2jyAgqoylU
Part of the conversation: Gemini 4 Argon and SubQ Snap launch
@sundarpichai announces that Gemini 4 Argon is available globally for developers and enterprises in the paid tier of the Gemini API, for Ultra subscribers in Google Antigravity, and for Ultra and Pro subscribers in the Gemini app and Search (18.5K likes, 2.6M views). @alex_whedon introduces SubQ Snap, which he calls the first long-context decision model, claiming 384K tokens of context, a 61.7 score on Decision Index v0.2.1 versus 57.9 for Jev, and $0.05/MM input tokens (4.4M views).
Why it mattersTwo new model releases drew large audiences, with different pitches: broad availability versus long context at low cost.
Other posts in this conversation
Introducing SubQ Snap, the first long-context decision model for real enterprise work. Snap is the only decision model or LLM where compute per token stays constant as context grows. • 384K tokens of multimodal context, 12x larger than Jev. • 61.7 on Decision Index v0.2.1 vs Jev’s 57.9, outperforming on 13 of 16 enterprise benchmarks. •Processes 100K tokens and returns a decision in under one second. •$0.05/MM input tokens. Output is free. Available today to anyone. The first 10,000 sign-ups get 100M free input tokens. We’ll likely hit capacity fast and will add users as we add compute. Compute offers welcome 🙂. Latency will be variable as we tune the platform to this new model and category of users. Model speeds are 80ms for minimal context, 250ms for 32k, 660ms for 100k, and 2.5 seconds for 384k. Visit: https://t.co/Nc76iJF2a8
How it compares
This post ranks #2 of the 14 highest-engagement ai posts AgentFlare tracked on 2026-10-14, with 3.2× the median likes. See the full AI briefing.
How this page is made. Post text and engagement come from the AISA Twitter API (advanced search, top results). Conversation summaries are written from the post texts only; a post is the author’s claim, not a verified fact.
Sources & citations
- @sundarpichai on X 2026-10-13 16:04 UTC
- AISA Twitter API