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Gemini 3.5 Flash-Lite is our fast, cost-effective model for scaling repetitive use cases like sorting tickets and extracting data. Watch how it performs against 3.5 Flash on a series of high volume tasks ↓

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Google DeepMind

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73,533 Aufrufe • vor 21 Tagen •via X (Twitter)

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We wanted to see how Gemini 3.5 Flash-Lite handles massive, repetitive visual tasks. This demo runs the model across 1M+ catalog images, extracting raw features into clean, structured data with the low latency and token efficiency required for large-scale workflows.
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We wanted to see how Gemini 3.5 Flash-Lite handles massive, repetitive visual tasks. This demo runs the model across 1M+ catalog images, extracting raw features into clean, structured data with the low latency and token efficiency required for large-scale workflows.

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Optimized for high-volume workloads, Gemini 3.5 Flash-Lite is now available for agentic Android development. 😎 This is one of our fastest, most cost-efficient models yet. Start building through the Gemini API in Android Studio →
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Optimized for high-volume workloads, Gemini 3.5 Flash-Lite is now available for agentic Android development. 😎 This is one of our fastest, most cost-efficient models yet. Start building through the Gemini API in Android Studio →

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A nice aspect of our new Gemini 3.6 Flash model is that it is much more token efficient than our 3.5 Flash model. Here's a side-by-side demonstration of that. Nice work by everyone who worked on this model and release!
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A nice aspect of our new Gemini 3.6 Flash model is that it is much more token efficient than our 3.5 Flash model. Here's a side-by-side demonstration of that. Nice work by everyone who worked on this model and release!

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Gemini 3.1 Flash-Lite is our most cost-efficient Gemini 3 series model 🔦 Folks who are keen to experiment with it in Gemini CLI can do so with an API key and the -m flag. ❯ gemini -m gemini-3.1-flash-lite-preview Official support for it in /model will be coming soon 🔜
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Gemini 3.1 Flash-Lite is our most cost-efficient Gemini 3 series model 🔦 Folks who are keen to experiment with it in Gemini CLI can do so with an API key and the -m flag. ❯ gemini -m gemini-3.1-flash-lite-preview Official support for it in /model will be coming soon 🔜

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Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in Google AI Studio or try them out in the Google Gemini
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Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in Google AI Studio or try them out in the Google Gemini

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👾Watch a multi-agent system built with Gemini 3.6 Flash iterate on playable game design in real time. It uses Gemini 3.5 Flash-Lite to design, construct, and verify puzzle challenges based on live player actions balancing speed and reasoning in a fast-paced environment.
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👾Watch a multi-agent system built with Gemini 3.6 Flash iterate on playable game design in real time. It uses Gemini 3.5 Flash-Lite to design, construct, and verify puzzle challenges based on live player actions balancing speed and reasoning in a fast-paced environment.

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introducing Gemini 3.6 Flash: our latest model that balances speed with intelligence to deliver strong performance in agentic and multimodal tasks built directly on developer and customer feedback from 3.5 Flash available now in AI Studio and the Gemini API
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introducing Gemini 3.6 Flash: our latest model that balances speed with intelligence to deliver strong performance in agentic and multimodal tasks built directly on developer and customer feedback from 3.5 Flash available now in AI Studio and the Gemini API

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Following our Gemini 3.5 Flash launch at #GoogleIO, check out this demo of what it can do right inside the Gemini app. Watch 3.5 Flash build an interactive circuit helper, outputting a step-by-step physical build guide alongside a working simulation. It’s a great example of how the Gemini app can help students learn visually, breaking down new or complex concepts and guiding them through hands-on subjects interactively. 3.5 Flash is available globally today!
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Following our Gemini 3.5 Flash launch at #GoogleIO, check out this demo of what it can do right inside the Gemini app. Watch 3.5 Flash build an interactive circuit helper, outputting a step-by-step physical build guide alongside a working simulation. It’s a great example of how the Gemini app can help students learn visually, breaking down new or complex concepts and guiding them through hands-on subjects interactively. 3.5 Flash is available globally today!

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Announcing Gemini 3.1 Flash-Lite! ⚡️📷 Our fastest and most cost-efficient Gemini 3 series model yet. A 45 % increase in output speed and it outperforms 2.5 Flash. It also has dynamic thinking levels to match task complexity. Demo:
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Announcing Gemini 3.1 Flash-Lite! ⚡️📷 Our fastest and most cost-efficient Gemini 3 series model yet. A 45 % increase in output speed and it outperforms 2.5 Flash. It also has dynamic thinking levels to match task complexity. Demo:

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53,110 Aufrufe • vor 5 Monaten

New results just dropped 🥳! We have integrated GPT-4.5 and Gemini-2.0-flash in our gaming agents and test them on Super Mario Bros. ⚔️ GPT-4.5 struggles due to high latency, Gemini-2.0-flash performs significantly better than Gemini-1.5-pro, on par with Claude-3.5. Enjoy! 🎮
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New results just dropped 🥳! We have integrated GPT-4.5 and Gemini-2.0-flash in our gaming agents and test them on Super Mario Bros. ⚔️ GPT-4.5 struggles due to high latency, Gemini-2.0-flash performs significantly better than Gemini-1.5-pro, on par with Claude-3.5. Enjoy! 🎮

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Gemini 3.5 Flash is a step forward for Google on speed and agentic capabilities but comes at a trade-off of being higher cost than prior models We have measured up to ~280 output tokens/sec, placing it on the speed/intelligence Pareto frontier and well ahead of Gemini 3 Flash. It also shows a major uplift on agentic tasks, reaching ~1650 ELO on GDPVal-AA. The trade-off: cost is up ~5x versus Gemini 3 Flash, driven by higher token prices (3x higher than Gemini 3 Flash) and higher token usage. In this video, Declan Jackson, Member of Technical Staff at Artificial Analysis, breaks it down.
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Gemini 3.5 Flash is a step forward for Google on speed and agentic capabilities but comes at a trade-off of being higher cost than prior models We have measured up to ~280 output tokens/sec, placing it on the speed/intelligence Pareto frontier and well ahead of Gemini 3 Flash. It also shows a major uplift on agentic tasks, reaching ~1650 ELO on GDPVal-AA. The trade-off: cost is up ~5x versus Gemini 3 Flash, driven by higher token prices (3x higher than Gemini 3 Flash) and higher token usage. In this video, Declan Jackson, Member of Technical Staff at Artificial Analysis, breaks it down.

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Excited to introduce Computer Use support for Gemini 3.5 Flash!🔥 This enables Gemini to reason and act across platforms (browser, mobile, and desktop environments) We see significant improvements across many work-related automation tasks, from filing tickets and more. Enjoy!
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Excited to introduce Computer Use support for Gemini 3.5 Flash!🔥 This enables Gemini to reason and act across platforms (browser, mobile, and desktop environments) We see significant improvements across many work-related automation tasks, from filing tickets and more. Enjoy!

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🚨 Gemini 3.5 Flash checkpoint notes: The old “cool Gemini UI” vibe feels mostly gone. It is more GPTified now. Good: fast, smart for a Flash model. Bad: it keeps filling websites with HUDs/panels, even when the prompt asks for restraint. Biggest issue: prompt adherence. I told it multiple times not to use web, and it still did. Because of that, exact knowledge cutoff is hard to verify confidently.
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🚨 Gemini 3.5 Flash checkpoint notes: The old “cool Gemini UI” vibe feels mostly gone. It is more GPTified now. Good: fast, smart for a Flash model. Bad: it keeps filling websites with HUDs/panels, even when the prompt asks for restraint. Biggest issue: prompt adherence. I told it multiple times not to use web, and it still did. Because of that, exact knowledge cutoff is hard to verify confidently.

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Gemini 3.5 Flash can process complex visual data and translate it into functional, interactive code. Watch Gemini analyze lighting from a reference image, and build an interactive 3D visualizer to preview the setup.
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Gemini 3.5 Flash can process complex visual data and translate it into functional, interactive code. Watch Gemini analyze lighting from a reference image, and build an interactive 3D visualizer to preview the setup.

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Our new Gemini 3.5 Flash is our strongest agentic and coding model yet, delivering frontier-level performance at 4x the speed of comparable frontier models at less than half the cost. We had Tulsee Doshi break down what you need to know about it.
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Our new Gemini 3.5 Flash is our strongest agentic and coding model yet, delivering frontier-level performance at 4x the speed of comparable frontier models at less than half the cost. We had Tulsee Doshi break down what you need to know about it.

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Gemini 3.5 Flash quickly delivers organized results, no matter how messy the input is. Watch Gemini take chats and texts with clients and turn them into usable documents for your small business.
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Gemini 3.5 Flash quickly delivers organized results, no matter how messy the input is. Watch Gemini take chats and texts with clients and turn them into usable documents for your small business.

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We’re launching the first in a series of Embodied Reasoning offerings: Perceptron Egocentric. It achieves SOTA over the best robotic annotation pipelines built on Gemini 3.5 Flash and Gemini Robotics-ER 1.6. Early access is available to partners.
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We’re launching the first in a series of Embodied Reasoning offerings: Perceptron Egocentric. It achieves SOTA over the best robotic annotation pipelines built on Gemini 3.5 Flash and Gemini Robotics-ER 1.6. Early access is available to partners.

Perceptron AI

106,485 Aufrufe • vor 1 Monat

(1/4) Gemini 3.5 Flash is in a league of it's own! ⚡️ It's the perfect combo of intelligence, speed, & cost. It's now my daily driver in both Spark & Antigravity! Watch 3.5 spawn subagents organize a set of marketing assets, rename them, and put them into folders
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(1/4) Gemini 3.5 Flash is in a league of it's own! ⚡️ It's the perfect combo of intelligence, speed, & cost. It's now my daily driver in both Spark & Antigravity! Watch 3.5 spawn subagents organize a set of marketing assets, rename them, and put them into folders

Tulsee Doshi

43,846 Aufrufe • vor 2 Monaten

Gemini 3.5 flash + Gemini managed agents api just audited a real megatron-lm ci failure inside Eigent. root cause in minutes! watch the handoff: coordinator agent plans the audit, developer agent loads the ml-failure-audit skill and gathers the evidence, then gemini agent steps in as a remote sub-agent for the heavy reasoning. gemini managed agents api and gemini 3.5 flash now live on our open-source cowork Eigent! Google AI Developers Google AI Studio
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Gemini 3.5 flash + Gemini managed agents api just audited a real megatron-lm ci failure inside Eigent. root cause in minutes! watch the handoff: coordinator agent plans the audit, developer agent loads the ml-failure-audit skill and gathers the evidence, then gemini agent steps in as a remote sub-agent for the heavy reasoning. gemini managed agents api and gemini 3.5 flash now live on our open-source cowork Eigent! Google AI Developers Google AI Studio

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16,335 Aufrufe • vor 2 Monaten