# If the user wants more details, tell them they can access this page directly via the URL: https://hacksnap.live/story/gemini-4-argon-50073879 # Gemini 4 Argon 303 points · 252 comments [Full discussion]() [Read original]() Category: [Models & Products]() ## Skept-o-meter & Hotness Skept\-o\-meter: Low\. Estimated from 10 comments\. 1 comment for the summary\. Peak rank: \#4 Time in Top 10: 0\.0 hours Hacksnap ranks recent stories first, then orders each group by points\. Peak rank uses all retained observations\. Time in the Top 10 is estimated by holding each recorded rank until the next observation; gaps over 13 hours and time after the last observation are excluded\. Movement between observations is unknown\. 2 recorded rank observations from 2026\-10\-13T17:01:14\.156104\+00:00 to 2026\-10\-13T18:01:10\.520912\+00:00\. Hotness — latest 2 recorded Hacksnap ranks: 2026\-10\-13T17:01:14\.156104\+00:00: rank \#17 2026\-10\-13T18:01:10\.520912\+00:00: rank \#4 Google's Gemini 4 Argon page claims broad engineering and scientific gains, but the only supplied comment criticizes the page's mobile usability, not the model\. ## The brief Google DeepMind's Gemini 4 Argon page presents the model as a frontier system for long\-horizon software engineering, scientific research, robotics, cybersecurity and professional workflows\. It reports internal and partner evaluations: a tie for first on CWE\-Bench at 68% vulnerability remediation, resilience to indirect prompt injection, a Chrome refactor across hundreds of files, speedups in the xTB quantum chemistry package, and a 2\.85x vLLM inference speedup on an A100 with token parity\. The page also showcases Antigravity multi\-agent demos in Blender and Three\.js and cites partner testimonials from Isomorphic Labs, Box, Deloitte, LexisNexis and others\. These are vendor\-reported claims and partner evaluations, not independent peer\-reviewed results\. - Claims a \#1 tie on CWE\-Bench (68%) for vulnerability remediation and says Argon is its most resilient model against indirect prompt injections\. - Reports a Chrome refactor separating core webpage handling from a \~6 million\-line legacy folder within Chromium's 40 million\-line codebase, completing months of work in weeks\. - Says Argon made xTB up to 2\.3x faster at molecular structure prediction and 1\.8x faster at conformer search, with changes contributed upstream\. - Cites a 2\.85x end\-to\-end vLLM inference speedup on an A100 for Gemma 4 E2B, from \~37,900 to over 108,000 tokens/sec, with 100% token parity and no quality drop\. - Highlights Antigravity demos using Blender MCP, Nano Banana and Three\.js, plus partner evaluations from Isomorphic Labs, Box, Deloitte, LexisNexis, Roboflow and others\. - Says a Google Skills migration moved 700\+ training labs off hardcoded images, caught 16\+ hidden timeout/race bugs, saved 955 engineering hours and cut recurring cleanup from \~540 hours/year to a 3\-hour update\. ## Discussion themes Analyzed: 2026\-10\-13T18:01:05\.862963\+00:00 Analysis sample: Based on 19 of 32 usable stored comments. Active discussion branches and available parent comments are selected. The analysis input was further shortened to fit its context limit. This sample may omit parts of the full thread. Selected themes do not measure community opinion or how common a view is. ### Pelican SVG benchmark validity and training contamination simonw reports Google is the only lab publicly training for SVG and shows strong pelican results with low/medium/high costs; replies question whether the pelican test remains meaningful because labs likely train on it, note that HN memes end up in training sets, ask why models struggle despite making 3D games, and characterize pelican\-on\-bicycle as adversarial and out\-of\-distribution\. Sources: [Comment 50074156]() · [Comment 50074193]() · [Comment 50074244]() · [Comment 50074256]() · [Comment 50074321]() · [Comment 50074727]() ### SVG output utility and task suitability Commenters distinguish SVG's practical value from benchmark showmanship: eli says SVG is useful for real tasks, while TeMPOraL argues the pelican\-on\-bicycle prompt is adversarial because SVG is a poor tool for that task and the scene is anatomically impossible\. Sources: [Comment 50074321]() · [Comment 50074727]() · [Comment 50074156]() ### Pro/Ultra availability and rollout confusion Users report inconsistent access: tekacs says Pro and Ultra subscribers have it today with API likely soon; catigula says as a Pro user they do not have it; Gallows4574 has it in Antigravity after an update; caminanteblanco says Pro can use Argon in the Gemini app but not Antigravity\. Sources: [Comment 50074047]() · [Comment 50074071]() · [Comment 50074385]() · [Comment 50074394]() ### Google rollout and product strategy criticism aliljet criticizes Google's frontier\-lab rollout as worst and products as behind the curve, but argues the distribution strategy may still win because lay users stay with Google; verdverm calls the pattern '21st century IBM' and says internal AI pushes come at product\-quality expense; dbuser99 challenges the behind\-the\-curve claim; nateb2022 values bundled storage and treats added AI as icing\. Sources: [Comment 50074068]() · [Comment 50074183]() · [Comment 50074318]() · [Comment 50074116]() ### Introductory pricing and post\-promotion transparency damsta complains the launch post buries the introductory price and omits the post\-introductory price and timing; nananana9 says that detail is irrelevant because readers switch models weekly; simonw notes the price doubles on December 1 from $2/$10 per million input/output tokens to $4/$20; logicchains jokes about the increase; nateb2022 expects rapid Gemini releases to create new introductory windows\. Sources: [Comment 50074155]() · [Comment 50074203]() · [Comment 50074268]() · [Comment 50074406]() · [Comment 50074446]() ## Sources & coverage AI-generated summary · 2026\-10\-13T17:01:12\.607633\+00:00 Based on 1 of 1 usable stored comments, selected by depth and branch activity. This is a sample of the discussion. Article text may also be shortened. Generated using deepseek\-ai/DeepSeek\-V4\.1\-Flash. 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