AI Briefing#gemini-4-argon
The latest AI and developer news about #gemini-4-argon, with the original source and a short summary.
The latest AI and developer news about #gemini-4-argon, with the original source and a short summary.
A test on a real bug showed Opus 5.5 high failed to find a fix after 3 hours, while xhigh resolved it in minutes.
GPT-6.1-Sol ranked first in coding and mathematics, while Kimi-K3.1-Pro took the official overall first place.
They unveiled a demo that performs drug design iterations, which typically take days, in about 1 hour.
A preprint testing 20 arguments across four models finds that attributing arguments to experts in unrelated fields reduces perceived credibility compared to having no source.
Claude Opus 5.5 and Grok 4.7 retained 80% and 86% of their Vals Index scores respectively at just 16% of the leaderboard cost.
The model achieves 6 confirmed strengths across 11 categories, including a #1 rank in Humanity's Sixth Sense and #2 in SWE-Bench Pro V2.
Google's Gemini 4 Argon model demonstrates significant capability uplift in cybersecurity and biological tasks, with safety assessments indicating it cannot be ruled out for certain Critical Capability Levels.
Gemini 4 Argon processed 25 trillion tokens in 72 hours, tripling Gemini 3.0 usage, while Pichai confirms compute constraints are driving efficiency breakthroughs.
GPT-6 Astra achieved a 57% win rate against mixed rosters but only 7% against top human-written bots, highlighting the gap between LLM coding and expert game AI.
The Gemini agent is not yet publicly available, but startups can contact sales to prepare for its launch.
The updated benchmark reveals that only 3 of 16 tested LLMs maintained over 90% agreement across five test runs.
Deep Review offers two free weekly document reviews and expands beyond academic papers to legal and financial domains.
Gemini 4 Argon reduces prompt injection success rates to 0.7% and cuts coding task cheating attempts to 2% through new multi-layered defenses.
The new model offers introductory pricing of $2 per million input tokens and $10 per million output tokens, with a 1 million token context limit.
Google AI Pro and Ultra subscribers can now access Gemini 4 Argon, which features direct answers and integration with over 40 apps.
Developers can access Gemini 4 Argon via the paid tier of the Gemini API and Google AI Ultra subscribers can use it in Google AI Studio.
The model features a 1M token context window and supports text, image, PDF, and video inputs.
Gemini 4 Argon launches with introductory pricing of $2 per million input tokens through November 30, 2026.
The update includes a new frontier model with a 1-million-token context window, an Android-based laptop, and expanded scientific AI tools.
Offered at $2 per million input tokens and $10 per million output tokens, it is specialized for cybersecurity defense.
The new model launches at an introductory price of $2 per million input tokens and $10 per million output tokens.