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Introducing 3 new Gemini models ⚡ - 3.6 Flash: now faster, cheaper, and sharper at coding - 3.5 Flash-Lite: fastest in the series at 350 tokens/s - 3.5 Flash Cyber: finds and fixes security vulnerabilities on its own Available today in AIS and the API

Ammaar Reshi

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19,036 次观看 • 2 天前 •via X (Twitter)

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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

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

Google AI

400,704 次观看 • 2 天前

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

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

Google AI Studio

124,484 次观看 • 2 天前

In this head-to-head, Gemini 3.6 Flash and 3.5 Flash demonstrate automated code modernization in Antigravity. Watch 3.6 Flash rebuild legacy software faster, with improved latency and output.👇

In this head-to-head, Gemini 3.6 Flash and 3.5 Flash demonstrate automated code modernization in Antigravity. Watch 3.6 Flash rebuild legacy software faster, with improved latency and output.👇

Google Antigravity

73,694 次观看 • 2 天前

Three years ago, Gemini started by understanding the world. With Gemini 2, models learned to think and reason. Late last year, Gemini 3 brought any idea to life. Today, we’re continuing that journey with our Gemini 3.5 series, starting with Gemini 3.5 Flash, delivering frontier performance for agents and coding.

Three years ago, Gemini started by understanding the world. With Gemini 2, models learned to think and reason. Late last year, Gemini 3 brought any idea to life. Today, we’re continuing that journey with our Gemini 3.5 series, starting with Gemini 3.5 Flash, delivering frontier performance for agents and coding.

Google AI

68,715 次观看 • 2 个月前

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!

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!

koray kavukcuoglu

43,554 次观看 • 2 个月前

We’re rolling out 3.5 Flash to everyone in the Google Gemini and AI Mode in Google Search. Developers can start building in Google Antigravity and via the Gemini API in GoogleAIStudio. #GoogleIO

We’re rolling out 3.5 Flash to everyone in the Google Gemini and AI Mode in Google Search. Developers can start building in Google Antigravity and via the Gemini API in GoogleAIStudio. #GoogleIO

Google DeepMind

65,890 次观看 • 2 个月前

Introducing Gemini 3.5 Flash ⚡️ Normally, Gemini 3.5 Flash is 4x faster than other models with frontier performance. For a limited time, Antigravity is serving it 12x faster thanks to custom inference tricks, delivering incredible speed for your workflows. 🚀 See the performance in this demo: generating pixel art from photos, orchestrating multi-agent workflows to write and register sprites, and spawning browser subagents to auto-test rendering: 👇

Introducing Gemini 3.5 Flash ⚡️ Normally, Gemini 3.5 Flash is 4x faster than other models with frontier performance. For a limited time, Antigravity is serving it 12x faster thanks to custom inference tricks, delivering incredible speed for your workflows. 🚀 See the performance in this demo: generating pixel art from photos, orchestrating multi-agent workflows to write and register sprites, and spawning browser subagents to auto-test rendering: 👇

Google Antigravity

131,891 次观看 • 2 个月前

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

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

Eigent AI

16,335 次观看 • 2 个月前

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.

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.

Artificial Analysis

16,055 次观看 • 1 个月前

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:

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:

Addy Osmani

53,110 次观看 • 4 个月前

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 🔜

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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66,771 次观看 • 4 个月前

⚡️ Gemini 2.5 Flash and Pro are now stable, plus a new model joins the family: Flash-Lite, built for speed and efficiency at scale. Great for summarization, classification, and more → #GoogleDeveloperNews

⚡️ Gemini 2.5 Flash and Pro are now stable, plus a new model joins the family: Flash-Lite, built for speed and efficiency at scale. Great for summarization, classification, and more → #GoogleDeveloperNews

Google for Developers

14,319 次观看 • 1 年前

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 @TulseeDoshi break down what you need to know about it.

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 @TulseeDoshi break down what you need to know about it.

Google

77,414 次观看 • 2 个月前

Gemini 3 Flash is significantly faster and more efficient than 2.5 Pro. Watch below as 3 Flash generates complex graphics, 3D models, and a web app before the previous generation even finishes processing⚡

Gemini 3 Flash is significantly faster and more efficient than 2.5 Pro. Watch below as 3 Flash generates complex graphics, 3D models, and a web app before the previous generation even finishes processing⚡

Sundar Pichai

286,701 次观看 • 7 个月前

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.

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

104,086 次观看 • 14 天前

Introducing Gemini 2.0 Flash with Google AI Studio in PyCharm... Totally Free! 🤩 In just one minute, I'll show you how to connect your Google AI Studio account and start using the Gemini 2.0 Flash and Gemini 2.0 Flash Thinking models for free. Save this video to stay updated on all the latest Google DeepMind models available in JetBrains editors! PyCharm, a JetBrains IDE CodeGPT Google for Developers

Introducing Gemini 2.0 Flash with Google AI Studio in PyCharm... Totally Free! 🤩 In just one minute, I'll show you how to connect your Google AI Studio account and start using the Gemini 2.0 Flash and Gemini 2.0 Flash Thinking models for free. Save this video to stay updated on all the latest Google DeepMind models available in JetBrains editors! PyCharm, a JetBrains IDE CodeGPT Google for Developers

Daniel San

65,294 次观看 • 1 年前

🚨 Gemini 3.5 Flash speed numbers just dropped 3-9x faster than current Flash peak speeds over 900 tokens/sec capability hasn't dropped, actually improved parameter count estimated larger than expected video: full shooter game one-shot. holds up at speed. Also currently testing 3.5 Pro on Arena. Should I start posting Pro outputs now or wait for public launch? vote below 🫡

🚨 Gemini 3.5 Flash speed numbers just dropped 3-9x faster than current Flash peak speeds over 900 tokens/sec capability hasn't dropped, actually improved parameter count estimated larger than expected video: full shooter game one-shot. holds up at speed. Also currently testing 3.5 Pro on Arena. Should I start posting Pro outputs now or wait for public launch? vote below 🫡

Chetaslua

41,991 次观看 • 2 个月前

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! 🎮

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! 🎮

Hao AI Lab

15,521 次观看 • 1 年前

Gemini 3 Flash demonstrates that speed and size don’t have to come at the cost of intelligence. Side by side comparison of Flash and Pro in Antigravity. 👇

Gemini 3 Flash demonstrates that speed and size don’t have to come at the cost of intelligence. Side by side comparison of Flash and Pro in Antigravity. 👇

Google Antigravity

72,097 次观看 • 7 个月前

ROUTE LLM - SUPER INTELLIGENCE IN THE MAKING RouteLLM combines the superpowers of o1-preview, Sonnet 3.5, Gemini Flash, o1-mini, 4o, and 4o-mini! Based on your query, it optimizes for latency, cost, and quality of the response. The cool thing about RouteLLM is it combines. - coding ability of Sonnet 3.5 - reasoning ability of o1-preview - hard-coding ability of o1-mini - 1M context of Gemini - speed of 4o-mini Similar to ensemble models that are very effective in classical ML, RouteLLM and similar models will be the most effective in the LLM ecosystem

ROUTE LLM - SUPER INTELLIGENCE IN THE MAKING RouteLLM combines the superpowers of o1-preview, Sonnet 3.5, Gemini Flash, o1-mini, 4o, and 4o-mini! Based on your query, it optimizes for latency, cost, and quality of the response. The cool thing about RouteLLM is it combines. - coding ability of Sonnet 3.5 - reasoning ability of o1-preview - hard-coding ability of o1-mini - 1M context of Gemini - speed of 4o-mini Similar to ensemble models that are very effective in classical ML, RouteLLM and similar models will be the most effective in the LLM ecosystem

Bindu Reddy

66,374 次观看 • 1 年前