{"id":3278,"date":"2026-07-21T15:16:00","date_gmt":"2026-07-21T15:16:00","guid":{"rendered":"https:\/\/futurenews24.com\/index.php\/2026\/07\/21\/introducing-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber\/"},"modified":"2026-08-04T12:59:06","modified_gmt":"2026-08-04T12:59:06","slug":"introducing-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber","status":"publish","type":"post","link":"https:\/\/futurenews24.com\/index.php\/2026\/07\/21\/introducing-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber\/","title":{"rendered":"3.6 Flash, 3.5 Flash-Lite, and three.5 Flash Cyber"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div>\n<p data-block-key=\"q62nc\">Builders and prospects constructing manufacturing AI brokers want increased token effectivity, decrease latency, and extra dependable efficiency. Our Flash sequence of fashions is constructed to fulfill the candy spot of effectivity and high quality to allow scaling agentic workflows. Constructing on Gemini 3.5 Flash, we\u2019re introducing new Gemini fashions:<\/p>\n<p>3.6 Flash: Our workhorse mannequin that delivers higher coding, data work, and multimodal efficiency. Based on the Synthetic Evaluation Index, it reduces output token utilization by 17% in comparison with 3.5 Flash, and in some benchmarks like DeepSWE by Datacurve, we observe as much as 65%, all at a decrease price per output token.3.5 Flash-Lite: Our quickest, most cost-effective 3.5-class mannequin, delivering 350 output tokens per second in response to the Synthetic Evaluation Index, additionally considerably outperforming prior Flash-Lite generations in agentic workflows.3.5 Flash Cyber in CodeMender: Profitable cybersecurity purposes require cautious orchestration of a mannequin alongside an agent infrastructure. We\u2019re introducing a mixture of a brand new, extremely environment friendly, specialised cyber-focused mannequin paired with our CodeMender code safety agent that delivers aggressive efficiency on the frontier.<\/p>\n<p data-block-key=\"5ngv9\">Past in the present day\u2019s releases, Gemini 3.5 Professional is presently testing with companions and we plan to make it broadly out there as quickly because it\u2019s prepared. In parallel, our workforce is already specializing in constructing the following technology of fashions. We now have began our most bold pre-training run but, for Gemini 4, and are excited by the progress.<\/p>\n<h2 data-block-key=\"675rm\">3.6 Flash: Extra environment friendly and higher high quality than 3.5 Flash<\/h2>\n<p data-block-key=\"al143\">Gemini 3.6 Flash builds straight on developer and buyer suggestions from 3.5 Flash. 3.6 Flash not solely delivers a step up in coding and data work, however it does this whereas meaningfully bettering token effectivity. For instance, on the Synthetic Evaluation Index, we see 3.6 Flash consuming 17% fewer output tokens than 3.5 Flash. It additionally takes fewer reasoning steps and gear calls to perform multi-step workflows.<\/p>\n<p data-block-key=\"7ahcb\">This enhanced effectivity can also be mixed with a lower cost than 3.5 Flash. At $1.50\/1M enter tokens and $7.50\/1M output tokens, 3.6 Flash reduces the general price per agentic process, making brokers more cost effective to construct and run.<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/deepmind.google\/blog\/introducing-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Builders and prospects constructing manufacturing AI brokers want increased token effectivity, decrease latency, and extra dependable efficiency. Our Flash sequence of fashions is constructed to fulfill the candy spot of effectivity and high quality to allow scaling agentic workflows. Constructing on Gemini 3.5 Flash, we\u2019re introducing new Gemini fashions: 3.6 Flash: Our workhorse mannequin that [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3280,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/storage.googleapis.com\/gweb-uniblog-publish-prod\/images\/gemini-3-5_3-6_3-5-Cyber__key-art__statement_.width-1300.jpg","fifu_image_alt":"","jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_social_meta":[],"jnews_override_counter":[],"footnotes":""},"categories":[2],"tags":[2759,1918,3326],"class_list":["post-3278","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-research-breakthroughs","tag-cyber","tag-flash","tag-flashlite"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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