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In December, we launched Gemini 1.0 Pro. Today, we're introducing Gemini 1.5 Pro! 🚀 This next-gen model uses a Mixture-of-Experts (MoE) approach for more efficient training & higher-quality responses. Gemini 1.5 Pro, our mid-sized model, will soon come standard with a 128K-token context window, but starting today, developers +... show more

Sundar Pichai

10,298,871 subscribers

852,688 次观看 • 2 年前 •via X (Twitter)

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Elon Musk 的头像

Elon Musk2 年前

Congrats!

Lex Fridman 的头像

Lex Fridman2 年前

Congrats, this is exciting!!

Logan Kilpatrick 的头像

Logan Kilpatrick2 年前

Big congrats. This is really cool to see!

Adolfo Asorlin 👨🏼‍🚀 的头像

Adolfo Asorlin 👨🏼‍🚀2 年前

The 1M token context is a potential game-changer.

Amjad Masad 的头像

Amjad Masad2 年前

Congrats — a context window of this size will be super useful for large-scale code understanding, navigation, and refactoring.

nixCraft 🐧 的头像

nixCraft 🐧2 年前

Wow. I still can’t see ios app update for Gemini. When can I expect to see update?

Simon 的头像

Simon2 年前

When will you stop shipping blog posts and start shipping APIs?

AltitudeBen 的头像

AltitudeBen2 年前

And it absolutely sucks.

Chris 的头像

Chris2 年前

@sundarpichai is it going to automatically update for Advanced subscribers? Also the model won’t answer the simple question of which version it’s currently running!

相关视频

New ways for developers to build with Gemini → 😎 Gemini 1.5 Flash joins 1.5 Pro in public preview via the Gemini API in Google AI Studio 🥳 A new Context Caching feature in the Gemini API 🤗 A preview of our 2 million context window #GoogleIO

New ways for developers to build with Gemini → 😎 Gemini 1.5 Flash joins 1.5 Pro in public preview via the Gemini API in Google AI Studio 🥳 A new Context Caching feature in the Gemini API 🤗 A preview of our 2 million context window #GoogleIO

Google for Developers

17,467 次观看 • 2 年前

JUST IN: Google releases Gemini 1.5, a powerful MoE model. It's a huge breakthrough. The model has the longest context window ever seen: 1 million tokens. It can process 1 hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words in a single prompt. When tested on text, code, image, audio and video evaluations, 1.5 Pro outperforms 1.0 Pro on 87% of the benchmarks used for developing LLMs. You can can sign up in AI Studio to try it out.

JUST IN: Google releases Gemini 1.5, a powerful MoE model. It's a huge breakthrough. The model has the longest context window ever seen: 1 million tokens. It can process 1 hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words in a single prompt. When tested on text, code, image, audio and video evaluations, 1.5 Pro outperforms 1.0 Pro on 87% of the benchmarks used for developing LLMs. You can can sign up in AI Studio to try it out.

Lior Alexander

83,432 次观看 • 2 年前

Today at #GoogleIO we've announced: 🤖 Project Astra: our vision for AI assistants 🎨 Imagen 3 & Veo: our new image and video gen models ♊ Gemini 1.5 Flash: a light-weight multimodal model with long context & 1.5 Pro with 2M tokens... "Tuesday" as we call it Google DeepMind

Today at #GoogleIO we've announced: 🤖 Project Astra: our vision for AI assistants 🎨 Imagen 3 & Veo: our new image and video gen models ♊ Gemini 1.5 Flash: a light-weight multimodal model with long context & 1.5 Pro with 2M tokens... "Tuesday" as we call it Google DeepMind

Alexandre Moufarek

111,189 次观看 • 2 年前

🚨 Breaking: Google will soon launch Gemini CLI, a powerful open-source AI agent built for the terminal. - Built on Gemini 2.5 Pro - 1 million token context window - Free tier with 60 requests per minute and 1,000 per day - Google Search grounding for real-time context - Script and plugin support - Non-interactive mode for automation - Support for Model Context Protocol (MCP) - Integrated with Gemini Code Assist in VS Code - Fully open-source under Apache 2.0

🚨 Breaking: Google will soon launch Gemini CLI, a powerful open-source AI agent built for the terminal. - Built on Gemini 2.5 Pro - 1 million token context window - Free tier with 60 requests per minute and 1,000 per day - Google Search grounding for real-time context - Script and plugin support - Non-interactive mode for automation - Support for Model Context Protocol (MCP) - Integrated with Gemini Code Assist in VS Code - Fully open-source under Apache 2.0

AshutoshShrivastava

217,433 次观看 • 1 年前

Woot! The multimodal party is really getting started now. Check out Gemini 1.5 pro in action below ⤵️ With a mind boggling 1M token context window you can talk to full length movies, podcasts, and a boat load of docs. Also props to Google for being ultra transparent about the demos this time.

Woot! The multimodal party is really getting started now. Check out Gemini 1.5 pro in action below ⤵️ With a mind boggling 1M token context window you can talk to full length movies, podcasts, and a boat load of docs. Also props to Google for being ultra transparent about the demos this time.

Bilawal Sidhu

20,910 次观看 • 2 年前

Introducing Gemini 2.5 Pro Experimental! 🎉 Our newest Gemini model has stellar performance across math and science benchmarks. It’s an incredible model for coding and complex reasoning, and it’s #1 on the Arena leaderboard by a drastic 40 ELO margin. Only a handful of model releases have leaped ahead so strongly in ELO. 📈 ELO score differences map directly to win rate: e.g. a 400 ELO difference yields a ~91% win rate. Incredible that since 1.5, just a year ago, we jumped 200 ELO (300 since 1.0). Here’s a fun example where Gemini 2.5 Pro writes code to create an animated swarm of colorful boids swimming in a rotating hexagon. 💫 Try the model for free today in AI Studio. It’s also available to Gemini Advanced users in Google Gemini. Blog:

Introducing Gemini 2.5 Pro Experimental! 🎉 Our newest Gemini model has stellar performance across math and science benchmarks. It’s an incredible model for coding and complex reasoning, and it’s #1 on the Arena leaderboard by a drastic 40 ELO margin. Only a handful of model releases have leaped ahead so strongly in ELO. 📈 ELO score differences map directly to win rate: e.g. a 400 ELO difference yields a ~91% win rate. Incredible that since 1.5, just a year ago, we jumped 200 ELO (300 since 1.0). Here’s a fun example where Gemini 2.5 Pro writes code to create an animated swarm of colorful boids swimming in a rotating hexagon. 💫 Try the model for free today in AI Studio. It’s also available to Gemini Advanced users in Google Gemini. Blog:

Oriol Vinyals

212,438 次观看 • 1 年前

Also starting today, Gemini Advanced users can create with Canvas on Gemini 2.5 Pro. This model’s advanced coding abilities make it easy for anyone to collaborate, create, and share imaginative prototypes (like this example of a 3D dino world, made in under 5 minutes with just a few prompts). Here’s how to get started: 1) Go to 2) Choose the “2.5 Pro (experimental)” model 3) Select “Canvas” and start prompting We’re working hard to make Gemini 2.5 Pro available for more people to try soon–watch this space for updates.

Also starting today, Gemini Advanced users can create with Canvas on Gemini 2.5 Pro. This model’s advanced coding abilities make it easy for anyone to collaborate, create, and share imaginative prototypes (like this example of a 3D dino world, made in under 5 minutes with just a few prompts). Here’s how to get started: 1) Go to 2) Choose the “2.5 Pro (experimental)” model 3) Select “Canvas” and start prompting We’re working hard to make Gemini 2.5 Pro available for more people to try soon–watch this space for updates.

Google Gemini

302,724 次观看 • 1 年前

Try Google Gemini 3 Pro now on Verdent! Enjoy up to 85% OFF usage cost to build more. - 70% off for 30 days: Gemini 3 Pro usage cost in Verdent is 70% OFF. - 2x credits on Verdent subscription: With our limited-time double credits bonus, Gemini 3 Pro costs is 85% OFF of the official price. - Gemini 3 Pro keeps full-project context for real development tasks. Its agentic execution ensures results are correct and shippable. Come build with Google's latest powerful model for coding! Enjoy the Black Friday Sales now.

Try Google Gemini 3 Pro now on Verdent! Enjoy up to 85% OFF usage cost to build more. - 70% off for 30 days: Gemini 3 Pro usage cost in Verdent is 70% OFF. - 2x credits on Verdent subscription: With our limited-time double credits bonus, Gemini 3 Pro costs is 85% OFF of the official price. - Gemini 3 Pro keeps full-project context for real development tasks. Its agentic execution ensures results are correct and shippable. Come build with Google's latest powerful model for coding! Enjoy the Black Friday Sales now.

Verdent

154,352 次观看 • 8 个月前

Just added Google Gemini 3.1 Pro to Base44 Gemini 3.1 Pro is really good for gaming and design workflows, and it's fast. If that's what you're building, this is your model. + we're adding something a lot of you were asking for - you can now pick your AI model from the very first prompt. No more starting with a default and switching halfway through. Checkout this Pokemon game I built with the new model, and let me know what you're building

Just added Google Gemini 3.1 Pro to Base44 Gemini 3.1 Pro is really good for gaming and design workflows, and it's fast. If that's what you're building, this is your model. + we're adding something a lot of you were asking for - you can now pick your AI model from the very first prompt. No more starting with a default and switching halfway through. Checkout this Pokemon game I built with the new model, and let me know what you're building

Maor Shlomo

24,630 次观看 • 5 个月前

Starting today, you will be able to select Gemini 3 Pro as an experimental model in Figma Make It’s early, but we’re already seeing impressive results: → Generate 0→1 results with a broad variety of styles, layouts, and interactions → Accurately translate Figma designs into code-backed prototypes → Iterate and refine with nuance

Starting today, you will be able to select Gemini 3 Pro as an experimental model in Figma Make It’s early, but we’re already seeing impressive results: → Generate 0→1 results with a broad variety of styles, layouts, and interactions → Accurately translate Figma designs into code-backed prototypes → Iterate and refine with nuance

Figma

170,349 次观看 • 8 个月前

Last year, we integrated into the Google Gemini by allowing you to upload your notebooks as sources. Now, we’re taking our relationship to the next level 🏠 ♥️ Starting today, you can now: — Access all of your personal, unshared notebooks directly inside the Gemini App — Use your chats with Gemini as sources in new or existing unshared notebooks We're rolling out notebooks in Gemini today, starting with Google AI Ultra, Pro, and Plus subscribers on the web. In the coming weeks, we'll expand access to mobile, more countries across Europe, and to free users.

Last year, we integrated into the Google Gemini by allowing you to upload your notebooks as sources. Now, we’re taking our relationship to the next level 🏠 ♥️ Starting today, you can now: — Access all of your personal, unshared notebooks directly inside the Gemini App — Use your chats with Gemini as sources in new or existing unshared notebooks We're rolling out notebooks in Gemini today, starting with Google AI Ultra, Pro, and Plus subscribers on the web. In the coming weeks, we'll expand access to mobile, more countries across Europe, and to free users.

Gemini Notebook

1,091,686 次观看 • 4 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

435,281 次观看 • 22 天前

Let’s talk about Gemini 3 Pro. There’s really no other way to say it. The benchmarks are incredible. The jump was dramatic – much more than most people expected. Anew agentic development platform named Antigravity was also launched today. Essentially, it’s a full VS Code fork, which will disappoint some – but with Gemini 3 Pro built directly into it. Now, it will take a few days for the developer community to determine whether it outperforms Cursor and some of the other IDEs. But the advantages that Antigravity has, is that it’s coupled with Gemini 3 Pro (SOTA) Gemini 2.5 Computer Use and Nano Banana for rich media generation. Excited to dive deeper into the Gemini 3 Pro launch. A LOT to unpack today.

Let’s talk about Gemini 3 Pro. There’s really no other way to say it. The benchmarks are incredible. The jump was dramatic – much more than most people expected. Anew agentic development platform named Antigravity was also launched today. Essentially, it’s a full VS Code fork, which will disappoint some – but with Gemini 3 Pro built directly into it. Now, it will take a few days for the developer community to determine whether it outperforms Cursor and some of the other IDEs. But the advantages that Antigravity has, is that it’s coupled with Gemini 3 Pro (SOTA) Gemini 2.5 Computer Use and Nano Banana for rich media generation. Excited to dive deeper into the Gemini 3 Pro launch. A LOT to unpack today.

Roberto Nickson

60,506 次观看 • 8 个月前

Introducing Personal Intelligence. It's our answer to a top request: you can now personalize Google Gemini by connecting your Google apps with a single tap. Launching as a beta in the U.S. for Pro/Ultra members, this marks our next step toward making Gemini more personal, proactive and powerful. Check it out!

Introducing Personal Intelligence. It's our answer to a top request: you can now personalize Google Gemini by connecting your Google apps with a single tap. Launching as a beta in the U.S. for Pro/Ultra members, this marks our next step toward making Gemini more personal, proactive and powerful. Check it out!

Josh Woodward

205,045 次观看 • 7 个月前

Really happy to see the interest around our “Hands-on with Gemini” video. In our developer blog yesterday, we broke down how Gemini was used to create it. We gave Gemini sequences of different modalities — image and text in this case — and had it respond by predicting what might come next. Devs can try similar things when access to Pro opens on 12/13 🚀. The knitting demo used Ultra⚡ All the user prompts and outputs in the video are real, shortened for brevity. The video illustrates what the multimodal user experiences built with Gemini could look like. We made it to inspire developers. When you’re building an app, you can get similar results (there’s always some variability with LLMs) by prompting Gemini with an instruction that allows the user to "configure" the behavior of the model, like inputting “you are an expert in science …” before a user can engage in the same kind of back and forth dialogue. Here’s a clip of what this looks like in AI Studio with Gemini Pro. We’ve come a long way since Flamingo 🦩 & PALI, looking forward to seeing what people build with it!

Really happy to see the interest around our “Hands-on with Gemini” video. In our developer blog yesterday, we broke down how Gemini was used to create it. We gave Gemini sequences of different modalities — image and text in this case — and had it respond by predicting what might come next. Devs can try similar things when access to Pro opens on 12/13 🚀. The knitting demo used Ultra⚡ All the user prompts and outputs in the video are real, shortened for brevity. The video illustrates what the multimodal user experiences built with Gemini could look like. We made it to inspire developers. When you’re building an app, you can get similar results (there’s always some variability with LLMs) by prompting Gemini with an instruction that allows the user to "configure" the behavior of the model, like inputting “you are an expert in science …” before a user can engage in the same kind of back and forth dialogue. Here’s a clip of what this looks like in AI Studio with Gemini Pro. We’ve come a long way since Flamingo 🦩 & PALI, looking forward to seeing what people build with it!

Oriol Vinyals

180,982 次观看 • 2 年前

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.

Google AI

136,648 次观看 • 8 个月前

TPUs incoming 🔥 Stitch is now using Gemini 2.5 Pro Experimental Mode by default . Users have preferred the results of experimental mode 3x versus standard mode. Everything is now generated with Gemini 2.5 Pro, making the output more creative and—most importantly—much easier to edit ✨. This mode hasn't gained the ability to export to Figma, nor theming yet. That's still available in standard mode for now if you need it! Enjoy the new power and let us know what you think! 🚀 [Attached video is sped up. Experimental mode generations are very thorough - taking ~50s]

TPUs incoming 🔥 Stitch is now using Gemini 2.5 Pro Experimental Mode by default . Users have preferred the results of experimental mode 3x versus standard mode. Everything is now generated with Gemini 2.5 Pro, making the output more creative and—most importantly—much easier to edit ✨. This mode hasn't gained the ability to export to Figma, nor theming yet. That's still available in standard mode for now if you need it! Enjoy the new power and let us know what you think! 🚀 [Attached video is sped up. Experimental mode generations are very thorough - taking ~50s]

Stitch by Google

46,901 次观看 • 11 个月前

✨ What makes Gemini 2.5 Pro stand out? In this Release Notes episode, Sr. Product Manager Logan Kilpatrick and Gemini Product Lead Tulsee Doshi break down its reasoning, coding, and multimodal strengths, plus a 1M token long context. ↓ Timecodes: 1:05 Gemini 2.5 launch overview 3:19 Academic evals vs. vibe checks 6:19 The jump to 2.5 7:51 Coordinating cross-stack improvements 11:48 Role of pre/post-training vs. test-time compute 13:21 Shipping Gemini 2.5 15:29 Embedded safety process 17:28 Multimodal reasoning with Gemini 2.5 18:55 Benchmark deep dive 22:07 What’s next for Gemini 24:49 Dynamic thinking in Gemini 2.5 25:37 The team effort behind the launch

✨ What makes Gemini 2.5 Pro stand out? In this Release Notes episode, Sr. Product Manager Logan Kilpatrick and Gemini Product Lead Tulsee Doshi break down its reasoning, coding, and multimodal strengths, plus a 1M token long context. ↓ Timecodes: 1:05 Gemini 2.5 launch overview 3:19 Academic evals vs. vibe checks 6:19 The jump to 2.5 7:51 Coordinating cross-stack improvements 11:48 Role of pre/post-training vs. test-time compute 13:21 Shipping Gemini 2.5 15:29 Embedded safety process 17:28 Multimodal reasoning with Gemini 2.5 18:55 Benchmark deep dive 22:07 What’s next for Gemini 24:49 Dynamic thinking in Gemini 2.5 25:37 The team effort behind the launch

Google AI Developers

228,165 次观看 • 1 年前

With Kimi K3 Day-0 on vLLM: Open Frontier Intelligence for Everyone 🚀 At 2.8 trillion parameters, Moonshot AI's Kimi K3 is one of the most powerful open-weight models ever released. Starting today, you can serve it on vLLM the moment the weights are public. What K3 brings: 🧠 2.8T-parameter Mixture-of-Experts (16 of 896 experts active per token) 📚 1M-token context window 🛠️ Native multimodal understanding, including vision ⚡ Kimi Delta Attention: a hybrid of linear and full attention that makes million-token context affordable Huge thank you to Kimi.ai AI for the model release and partnership, Inferact for leading the vLLM optimizations, and to our partners at NVIDIA, AMD, and the broader vLLM community. 1/6

With Kimi K3 Day-0 on vLLM: Open Frontier Intelligence for Everyone 🚀 At 2.8 trillion parameters, Moonshot AI's Kimi K3 is one of the most powerful open-weight models ever released. Starting today, you can serve it on vLLM the moment the weights are public. What K3 brings: 🧠 2.8T-parameter Mixture-of-Experts (16 of 896 experts active per token) 📚 1M-token context window 🛠️ Native multimodal understanding, including vision ⚡ Kimi Delta Attention: a hybrid of linear and full attention that makes million-token context affordable Huge thank you to Kimi.ai AI for the model release and partnership, Inferact for leading the vLLM optimizations, and to our partners at NVIDIA, AMD, and the broader vLLM community. 1/6

vLLM

101,833 次观看 • 16 天前