{"id":175674,"date":"2025-09-28T17:38:21","date_gmt":"2025-09-28T17:38:21","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/175674\/"},"modified":"2025-09-28T17:38:21","modified_gmt":"2025-09-28T17:38:21","slug":"continuing-to-bring-you-our-latest-models-with-an-improved-gemini-2-5-flash-and-flash-lite-release","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/175674\/","title":{"rendered":"Continuing to bring you our latest models, with an improved Gemini 2.5 Flash and Flash-Lite release"},"content":{"rendered":"<p data-block-key=\"l6uur\">Today, we are releasing updated versions of Gemini 2.5 Flash and 2.5 Flash-Lite, available on <a href=\"http:\/\/aistudio.google.com\/\" rel=\"nofollow noopener\" target=\"_blank\">Google AI Studio<\/a> and <a href=\"http:\/\/vertexai.google.com\/\" rel=\"nofollow noopener\" target=\"_blank\">Vertex AI<\/a>, aimed at continuing to deliver better quality while also improving the efficiency.<\/p>\n<p>                <img decoding=\"async\" class=\"regular-image\" src=\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2025\/09\/rev_21_benchmarks_2.original.png\" alt=\"Intelligence vs End-to-End response time\"\/><\/p>\n<p>\n                        Improvements in quality and speed for Gemini 2.5 Flash and 2.5 Flash Lite preview models compared to the current stable models\n                    <\/p>\n<p>                <img decoding=\"async\" class=\"regular-image\" src=\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2025\/09\/rev_21_benchmarks_1.original.png\" alt=\"Output token efficiency\"\/><\/p>\n<p>\n                        50% reduction in output tokens (hence costs) for Gemini 2.5 Flash-Lite and 24% reduction for Gemini 2.5 Flash\n                    <\/p>\n<p>    Updated Gemini 2.5 Flash-Lite<\/p>\n<p data-block-key=\"9smg5\">The latest version of Gemini 2.5 Flash-Lite was trained and built based on three key themes:<\/p>\n<p>Better instruction following: The model is significantly better at following complex instructions and system prompts.Reduced verbosity: It now produces more concise answers, a key factor in reducing token costs and latency for high-throughput applications (see charts above).Stronger multimodal &amp; translation capabilities: This update features more accurate audio transcription, better image understanding, and improved translation quality.<\/p>\n<p data-block-key=\"446ee\">You can start testing this version today using the following model string: gemini-2.5-flash-lite-preview-09-2025.<\/p>\n<p>Updated Gemini 2.5 Flash<\/p>\n<p data-block-key=\"1dihg\">This latest 2.5 Flash model comes with improvements in two key areas we heard consistent feedback on:<\/p>\n<p>Better agentic tool use: We&#8217;ve improved how the model uses tools, leading to better performance in more complex, agentic and multi-step applications. This model shows noticeable improvements on key agentic benchmarks, including a 5% gain on SWE-Bench Verified, compared to our last release (48.9% \u2192 54%).More efficient: With thinking on, the model is now significantly more cost-efficient\u2014achieving higher quality outputs while using fewer tokens, reducing latency and cost (see charts above).<\/p>\n<p data-block-key=\"24i20\">We\u2019re already seeing positive feedback from early testers. As Yichao \u2018Peak\u2019 Ji, Co-Founder &amp; Chief Scientist at <a href=\"https:\/\/manus.im\/\" rel=\"nofollow noopener\" target=\"_blank\">Manus<\/a>, an autonomous AI agent, noted: \u201cThe new Gemini 2.5 Flash model offers a remarkable blend of speed and intelligence. Our evaluation on internal benchmarks revealed a 15% leap in performance for long-horizon agentic tasks. Its outstanding cost-efficiency enables Manus to scale to unprecedented levels\u2014advancing our mission to Extend Human Reach.\u201d<\/p>\n<p data-block-key=\"322ui\">You can start testing this preview version today by using the following model string: gemini-2.5-flash-preview-09-2025.<\/p>\n<p>Start building with Gemini<\/p>\n<p data-block-key=\"au69p\">Over the last year, we\u2019ve learned that shipping preview versions of our models allows you to test our latest improvements and innovations, provide feedback, and build production-ready experiences with the best of Gemini. Today\u2019s releases are not intended to graduate to a new, <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/models#stable\" rel=\"nofollow noopener\" target=\"_blank\">stable version<\/a> but will help us shape our future stable releases, and allow us to continue iterating and bring you the best of Gemini.<\/p>\n<p data-block-key=\"3cljv\">To make it even easier to access our latest models while also reducing the need to keep track of long model string names, we are also introducing a -latest <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/models#latest\" rel=\"nofollow noopener\" target=\"_blank\">alias<\/a> for each model family. This alias always points to our most recent model versions, allowing you to experiment with new features without needing to update your code for each release. You can access the new previews using:<\/p>\n<p data-block-key=\"5hnmp\">To ensure you have time to test new models, we will always provide a 2-week notice (via email) before we make updates or deprecate a specific version behind -latest. These are just model aliases so the rate limits, cost, and features available may fluctuate between releases.<\/p>\n<p data-block-key=\"6nene\">For applications that require more stability, continue to use gemini-2.5-flash and gemini-2.5-flash-lite.<\/p>\n<p data-block-key=\"62m93\">We continue to push the frontier of what is possible with Gemini and this release is just another step in that direction. We will have more to share soon, but in the meantime, happy building!<\/p>\n","protected":false},"excerpt":{"rendered":"Today, we are releasing updated versions of Gemini 2.5 Flash and 2.5 Flash-Lite, available on Google AI Studio&hellip;\n","protected":false},"author":2,"featured_media":175675,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[256,254,255,64,63,105],"class_list":{"0":"post-175674","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-au","12":"tag-australia","13":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/175674","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=175674"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/175674\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/175675"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=175674"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=175674"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=175674"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}