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We’re launching agentic video understanding across our latest models: Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite! This new capability improves accuracy while cutting token consumption up to 88% and reducing costs by up to 66% for video analysis →

Google Cloud Tech

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43,457 次观看 • 2 天前 •via X (Twitter)

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Today, we’re launching Agentic Video Understanding in Gemini across 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. 📉 ~88% fewer tokens 💰 ~66% lower cost 📈 ~7% higher accuracy The result: a new Pareto frontier for video understanding across accuracy and cost. Traditional video understanding processes video statically at a fixed sampling rate. With Agentic Video Understanding, Gemini can actively decide what to watch, at what speed, and which signals to use (frames, audio, or transcripts) by using native video tools. This enables split-second retrieval, rapid-motion understanding, and needle-in-a-haystack search across hours of video. Available now via the Gemini API - and coming soon to billions of users through the Gemini App and YouTube’s “Ask YouTube” experience. Learn more (details, demos, and docs): PMing this 0→1 has been a career highlight. Taking it from an idea and helping shape it into a frontier-defining capability we’re now shipping broadly has been incredibly rewarding. Huge thanks to Mario Lucic , Sergi Caelles Ahmet Iscen , Filip Pavetić, Suhas Yogin , JB Alayrac, Ben Caine, Nicole Brichtova, Bibo Xu , Tulsee Doshi, David Thacker, koray kavukcuoglu and the multimodal team at Google DeepMind.

Today, we’re launching Agentic Video Understanding in Gemini across 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. 📉 ~88% fewer tokens 💰 ~66% lower cost 📈 ~7% higher accuracy The result: a new Pareto frontier for video understanding across accuracy and cost. Traditional video understanding processes video statically at a fixed sampling rate. With Agentic Video Understanding, Gemini can actively decide what to watch, at what speed, and which signals to use (frames, audio, or transcripts) by using native video tools. This enables split-second retrieval, rapid-motion understanding, and needle-in-a-haystack search across hours of video. Available now via the Gemini API - and coming soon to billions of users through the Gemini App and YouTube’s “Ask YouTube” experience. Learn more (details, demos, and docs): PMing this 0→1 has been a career highlight. Taking it from an idea and helping shape it into a frontier-defining capability we’re now shipping broadly has been incredibly rewarding. Huge thanks to Mario Lucic , Sergi Caelles Ahmet Iscen , Filip Pavetić, Suhas Yogin , JB Alayrac, Ben Caine, Nicole Brichtova, Bibo Xu , Tulsee Doshi, David Thacker, koray kavukcuoglu and the multimodal team at Google DeepMind.

Rohan Doshi

20,049 次观看 • 2 天前

Agentic video understanding with Gemini 3.7 Flash is HUGE. Just reduced cost, less tokens, and higher accuracy. No biggie.

Agentic video understanding with Gemini 3.7 Flash is HUGE. Just reduced cost, less tokens, and higher accuracy. No biggie.

Shubham Saboo

75,865 次观看 • 2 天前

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 • 3 个月前

To help you create rich, reliable experiences while reducing regeneration time and costs, we’re adding two new models to Gemini Enterprise Agent Platform: #1 - Nano Banana 2 Lite is GA #2 - Gemini Omni Flash is in public preview Learn more →

To help you create rich, reliable experiences while reducing regeneration time and costs, we’re adding two new models to Gemini Enterprise Agent Platform: #1 - Nano Banana 2 Lite is GA #2 - Gemini Omni Flash is in public preview Learn more →

Google Cloud Tech

14,028 次观看 • 2 个月前

Gemini 3.6 Flash is here, now with improved token efficiency compared to prior flash models, helping lower costs. 🎉 Try it out when building Android apps in Android Studio and Google Antigravity →

Gemini 3.6 Flash is here, now with improved token efficiency compared to prior flash models, helping lower costs. 🎉 Try it out when building Android apps in Android Studio and Google Antigravity →

Android Developers

41,381 次观看 • 1 个月前

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!

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!

Jeff Dean

208,839 次观看 • 1 个月前

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

69,613 次观看 • 3 个月前

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

437,800 次观看 • 1 个月前

3.7 Flash brings a big jump in agentic performance and coding accuracy. To demonstrate, we set up a 3-agent team to autonomously train a robotics control model from scratch. We hope you like 3.7 Flash, and you can read more here:

3.7 Flash brings a big jump in agentic performance and coding accuracy. To demonstrate, we set up a 3-agent team to autonomously train a robotics control model from scratch. We hope you like 3.7 Flash, and you can read more here:

koray kavukcuoglu

74,027 次观看 • 21 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

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.

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.

Google AI Developers

23,445 次观看 • 1 个月前

Watch Gemini 3.7 Flash handle autonomous website optimization in Google Antigravity. Leveraging MCP servers, multimodal understanding, and long-horizon execution, the agent sets out to achieve a 100 across all Lighthouse metrics and modernize the site to the latest web standards.

Watch Gemini 3.7 Flash handle autonomous website optimization in Google Antigravity. Leveraging MCP servers, multimodal understanding, and long-horizon execution, the agent sets out to achieve a 100 across all Lighthouse metrics and modernize the site to the latest web standards.

Google Antigravity

98,516 次观看 • 20 天前

With advanced video understanding, Gemini 2.0 Flash Experimental can: 🔍 Look up key moments 📝 Give shot-by-shot summaries 🖥️ Analyze screen recordings And much more. →

With advanced video understanding, Gemini 2.0 Flash Experimental can: 🔍 Look up key moments 📝 Give shot-by-shot summaries 🖥️ Analyze screen recordings And much more. →

Google DeepMind

59,736 次观看 • 1 年前

Our most intelligent workhorse model yet for coding and agents has arrived ⚡ Meet Gemini 3.7 Flash. — Crush that seemingly endless to-do list. Gemini Spark in the Google Gemini now uses 3.7 Flash. The new model can equip your personal AI agent to work even smarter for you by seamlessly handling complex, multi-step tasks across your Google Workspace apps like Gmail, Google Calendar and Google Docs — Enjoy a smoother build experience. The model thinks more diligently, putting more effort into multi-step planning and tool calls. A more disciplined execution means less manual oversight and fewer retries across engineering workflows — Build more, spend less. 3.7 Flash is available through the end of the year with an introductory price of half the original 3.6 Flash cost per million tokens ($0.75/1M input tokens and $3.75/1M output tokens)

Our most intelligent workhorse model yet for coding and agents has arrived ⚡ Meet Gemini 3.7 Flash. — Crush that seemingly endless to-do list. Gemini Spark in the Google Gemini now uses 3.7 Flash. The new model can equip your personal AI agent to work even smarter for you by seamlessly handling complex, multi-step tasks across your Google Workspace apps like Gmail, Google Calendar and Google Docs — Enjoy a smoother build experience. The model thinks more diligently, putting more effort into multi-step planning and tool calls. A more disciplined execution means less manual oversight and fewer retries across engineering workflows — Build more, spend less. 3.7 Flash is available through the end of the year with an introductory price of half the original 3.6 Flash cost per million tokens ($0.75/1M input tokens and $3.75/1M output tokens)

Google AI

127,622 次观看 • 21 天前

We ran a test between GPT-5.6 Sol, Kimi K3, and Gemini 3.6 Flash. One prompt. Across all three models. Using our /design command. Results (gameplay, UX, and UI): 🔹 Kimi K3 performed well across all three. 🔹 GPT-5.6 Sol is good, but it gets annoying when the ball hits the wall. 🔹 Gemini 3.6 Flash is bad (took 5–6 attempts), but it has features the others don’t, like dropping coins for power-up balls and increasing the bar length. Ranking (DX, features, and cost): 🔹 Kimi K3: 10/10 · $0.10 🔹 GPT-5.6 Sol: 9/10 · $0.52 🔹 Gemini 3.6 Flash: 6/10 · $0.45

We ran a test between GPT-5.6 Sol, Kimi K3, and Gemini 3.6 Flash. One prompt. Across all three models. Using our /design command. Results (gameplay, UX, and UI): 🔹 Kimi K3 performed well across all three. 🔹 GPT-5.6 Sol is good, but it gets annoying when the ball hits the wall. 🔹 Gemini 3.6 Flash is bad (took 5–6 attempts), but it has features the others don’t, like dropping coins for power-up balls and increasing the bar length. Ranking (DX, features, and cost): 🔹 Kimi K3: 10/10 · $0.10 🔹 GPT-5.6 Sol: 9/10 · $0.52 🔹 Gemini 3.6 Flash: 6/10 · $0.45

Command Code

61,412 次观看 • 1 个月前

🆕Google DeepMind's Gemini 3.7 Flash dropped this morning, and our evals showed it scored higher and ran about 37% faster than Gemini 3.6 Flash, with the largest gains on the most challenging analytical tasks. Here's how it performs on one of those tasks: private credit work. In this Box Agent demo, Gemini 3.7 Flash reviews 15 documents in a borrower package, catches an outdated leverage limit, applies the amended 5.50x threshold, corrects for $4M in restricted cash and a $1.5M unsupported add-back, flags a potential covenant exception at 5.58x, and saves a cited review back to Box for the portfolio team. Customers can use Gemini 3.7 Flash in Box AI Studio to build custom agents grounded in their enterprise content.

🆕Google DeepMind's Gemini 3.7 Flash dropped this morning, and our evals showed it scored higher and ran about 37% faster than Gemini 3.6 Flash, with the largest gains on the most challenging analytical tasks. Here's how it performs on one of those tasks: private credit work. In this Box Agent demo, Gemini 3.7 Flash reviews 15 documents in a borrower package, catches an outdated leverage limit, applies the amended 5.50x threshold, corrects for $4M in restricted cash and a $1.5M unsupported add-back, flags a potential covenant exception at 5.58x, and saves a cited review back to Box for the portfolio team. Customers can use Gemini 3.7 Flash in Box AI Studio to build custom agents grounded in their enterprise content.

Box

3,817,973 次观看 • 20 天前

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 Tulsee Doshi 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 Tulsee Doshi break down what you need to know about it.

Google

77,764 次观看 • 3 个月前

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!

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!

Omar Sanseviero

96,618 次观看 • 2 个月前

I asked Gemini 3.7 Flash to write prompts for modern web UI video backgrounds (great challenge to see the creativity of any model) and I really love the resulting aeshetics, rendered with Gemini Omni Flash. Some of the prompts I liked best below - which one is your favourite?

I asked Gemini 3.7 Flash to write prompts for modern web UI video backgrounds (great challenge to see the creativity of any model) and I really love the resulting aeshetics, rendered with Gemini Omni Flash. Some of the prompts I liked best below - which one is your favourite?

genevieveh@

70,470 次观看 • 17 天前

Today we're introducing Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents. This model brings substantial gains across software engineering, web development, and complex knowledge work. Now through the end of the year, Gemini 3.7 Flash is available at an introductory price* of $0.75/1M input and $3.75/1M output tokens — making it easier and more cost-effective for developers and customers to scale production-ready agents.

Today we're introducing Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents. This model brings substantial gains across software engineering, web development, and complex knowledge work. Now through the end of the year, Gemini 3.7 Flash is available at an introductory price* of $0.75/1M input and $3.75/1M output tokens — making it easier and more cost-effective for developers and customers to scale production-ready agents.

Google

1,174,864 次观看 • 21 天前