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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:

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koray kavukcuoglu

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71,746 görüntüleme • 8 gün önce •via X (Twitter)

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One prompt → your next landing page. We hooked up Gemini 3.7 Flash with Nano Banana and Omni in @Antigravity to build an interactive landing page from scratch, generating the copy, images, and video in a single shot.
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One prompt → your next landing page. We hooked up Gemini 3.7 Flash with Nano Banana and Omni in @Antigravity to build an interactive landing page from scratch, generating the copy, images, and video in a single shot.

Google

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Here’s how to build a Slack clone with Claude 3.7 Sonnet and Cursor Agent in v0.46. Perfect for *anyone* wanting to pick up AI coding tools. Learn how to build an app 100% from scratch with the newest AI coding workflows. Watch for 1hr+ of agentic coding.
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Here’s how to build a Slack clone with Claude 3.7 Sonnet and Cursor Agent in v0.46. Perfect for *anyone* wanting to pick up AI coding tools. Learn how to build an app 100% from scratch with the newest AI coding workflows. Watch for 1hr+ of agentic coding.

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212,484 görüntüleme • 1 yıl önce

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)
1:15

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

122,396 görüntüleme • 8 gün önce

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.
1:12

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

1,135,440 görüntüleme • 8 gün önce

🆕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.
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🆕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

2,553,018 görüntüleme • 7 gün önce

With Gemini 3 Flash, you can upload a short video to get a quick, easy-to-read analysis. Try Gemini 3 Flash in the app today.
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With Gemini 3 Flash, you can upload a short video to get a quick, easy-to-read analysis. Try Gemini 3 Flash in the app today.

Google Gemini

3,594,741 görüntüleme • 8 ay önce

Gemini 3.7 Flash is so fast that it can generate entire interactive websites in real time as you browse. Type URL or idea → it generates a complete website from scratch in real time. Try it yourself 👉🏻 [Video is 1x and not accelerated]
1:13

Gemini 3.7 Flash is so fast that it can generate entire interactive websites in real time as you browse. Type URL or idea → it generates a complete website from scratch in real time. Try it yourself 👉🏻 [Video is 1x and not accelerated]

Philipp Schmid

54,778 görüntüleme • 6 gün önce

Gemini 3 Flash is here, rolling out now in AI Mode in Search! ⚡️⚡️⚡️ 3 Flash brings frontier model intelligence to everyone...with the speed and accuracy of Google Search. Excited to ship it globally! Try it now at
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Gemini 3 Flash is here, rolling out now in AI Mode in Search! ⚡️⚡️⚡️ 3 Flash brings frontier model intelligence to everyone...with the speed and accuracy of Google Search. Excited to ship it globally! Try it now at

Nick Fox

27,504 görüntüleme • 8 ay önce

With Gemini 3 Flash, you can quickly build fun, useful apps from scratch using your voice without any prior coding knowledge. Just dictate to Gemini on the go, and it can transform your unstructured thoughts into a functioning app in minutes.
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With Gemini 3 Flash, you can quickly build fun, useful apps from scratch using your voice without any prior coding knowledge. Just dictate to Gemini on the go, and it can transform your unstructured thoughts into a functioning app in minutes.

Google Gemini

2,481,254 görüntüleme • 8 ay önce

Same prompt. Different results 👀 We built the same app with Gemini 3.6 and 3.7 Flash. Both worked. But 3.7 gave us the stronger codebase: better architecture, clean build/lint results, and a more maintainable foundation. Try it in Junie, Air, or any JetBrains IDE.
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Same prompt. Different results 👀 We built the same app with Gemini 3.6 and 3.7 Flash. Both worked. But 3.7 gave us the stronger codebase: better architecture, clean build/lint results, and a more maintainable foundation. Try it in Junie, Air, or any JetBrains IDE.

JetBrains

22,056 görüntüleme • 7 gün önce

We fed Gemini 3.7 Flash hundreds of PDFs from a Victorian book of botanical illustrations and tasked it with extracting and classifying these historical plants using the modern APG IV classification system. 🌳 💻 Watch how it brings its understanding to life in an interactive visualization built in Google Antigravity:
1:27

We fed Gemini 3.7 Flash hundreds of PDFs from a Victorian book of botanical illustrations and tasked it with extracting and classifying these historical plants using the modern APG IV classification system. 🌳 💻 Watch how it brings its understanding to life in an interactive visualization built in Google Antigravity:

Google AI Developers

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🌟 Together, we hope to achieve more! 🌟 We partner with ClearPointNeuro as we share a dedication to innovation in the neurology space. You can read more here #Collaboration
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🌟 Together, we hope to achieve more! 🌟 We partner with ClearPointNeuro as we share a dedication to innovation in the neurology space. You can read more here #Collaboration

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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.

Google

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Build anything in the terminal with improved agentic coding in Gemini 3 Flash! Watch this demo to see how a rapid prototyping tool doesn't have to compromise code quality. Learn more about using Gemini 3 Flash with Gemini CLI →
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Build anything in the terminal with improved agentic coding in Gemini 3 Flash! Watch this demo to see how a rapid prototyping tool doesn't have to compromise code quality. Learn more about using Gemini 3 Flash with Gemini CLI →

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Not every AI interaction is best served with a large frontier model. There is a long tail of trillion-token use cases, from tagging to search, best served by a sub-10b-parameter model that runs in milliseconds and costs many orders of magnitude less than the frontier. We built Freesolo Flash to make training loops like SFT and RL easy and end-to-end completable through your coding agent.
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Not every AI interaction is best served with a large frontier model. There is a long tail of trillion-token use cases, from tagging to search, best served by a sub-10b-parameter model that runs in milliseconds and costs many orders of magnitude less than the frontier. We built Freesolo Flash to make training loops like SFT and RL easy and end-to-end completable through your coding agent.

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Wow, Sonnet 3.7 w/ Thinking just solved a problem no other model could solve yet. "Can you write the most intricate cloth simulation in p5js" Grok 3 and o1 pro had no usable results. This is truly the best "vibe coding" model.
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Wow, Sonnet 3.7 w/ Thinking just solved a problem no other model could solve yet. "Can you write the most intricate cloth simulation in p5js" Grok 3 and o1 pro had no usable results. This is truly the best "vibe coding" model.

Deedy

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Introducing UI-TARS-1.5, a vision-language model that beats OpenAI Operator and Claude 3.7 on GUI Agent and Game Agent tasks. We've open-sourced a small-size version model for research purposes, more details can be found in our blog. TARS learns solely from a screen, but generalizes beyond a screen! Blog: Model: App:
1:17

Introducing UI-TARS-1.5, a vision-language model that beats OpenAI Operator and Claude 3.7 on GUI Agent and Game Agent tasks. We've open-sourced a small-size version model for research purposes, more details can be found in our blog. TARS learns solely from a screen, but generalizes beyond a screen! Blog: Model: App:

Yujia Qin

85,212 görüntüleme • 1 yıl önce

Static PDF ➡️ interactive web app, all in one prompt! We used Gemini 3.7 Flash in Google AI Studio to transform a dense PDF annual report into a beautiful website. Using its native PDF understanding, the model easily extracted data, crunched the numbers, and generated delightful interactive UI in one go. Learn how from genevieveh@:
2:08

Static PDF ➡️ interactive web app, all in one prompt! We used Gemini 3.7 Flash in Google AI Studio to transform a dense PDF annual report into a beautiful website. Using its native PDF understanding, the model easily extracted data, crunched the numbers, and generated delightful interactive UI in one go. Learn how from genevieveh@:

Google for Developers

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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.
2:17

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

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