Gemini 4 Argon is Google DeepMind’s frontier model, announced on 30 September 2026 as the first model of the Gemini 4 generation. According to Google<\/a>, it is built for long, multi-step work in software engineering, enterprise knowledge work such as law and finance, and cybersecurity defence, and its output limit rises to 1 million tokens from 64,000.<\/p>\n At announcement it was available only to trusted cyber defenders through the Fairwind Program<\/a>; Google says wider access starts with paid API customers and Google AI Ultra subscribers, with no date given. The introductory API price is $2 per million input tokens and $10 output (cached input 95% off), rising to $4 \/ $20 after the introductory period. A plain-language guide: Gemini 4 Argon spiegato<\/a>.<\/p>","protected":false},"excerpt":{"rendered":" What is Gemini 4 Argon? Gemini 4 Argon is Google DeepMind’s frontier model, announced on 30 September 2026 as the [\u2026]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"cm_developer":"Google DeepMind","cm_model_type":"Reasoning \/ agentic","cm_modality":"Text, vision, video","cm_parameters":"Undisclosed","cm_context_window":"","cm_max_output":"1M","cm_license":"Proprietary","cm_open_weights":"no","cm_release_date":"2026-09","cm_input_price":"2.00","cm_output_price":"10.00","cm_api_providers":"Google (limited access: Fairwind Program; paid API customers first)","cm_vram_fp16":"","cm_vram_q4":"","cm_min_gpu":"","cm_benchmarks":"Google-reported: DeepSWE v1.1 77.9%; AutomationBench 51.3% (#1); LVBench 91.7%; CWE-bench v1 68% (tied first). Prices are introductory; $4 \/ $20 per 1M afterwards.","cm_official_url":"https:\/\/blog.google\/innovation-and-ai\/models-and-research\/gemini-models\/gemini-4-argon\/"},"class_list":["post-2864","ai_model","type-ai_model","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/ai_model\/2864","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/ai_model"}],"about":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/types\/ai_model"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/it\/wp-json\/wp\/v2\/media?parent=2864"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}