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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⚡

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Sundar Pichai

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286,627 Aufrufe • vor 7 Monaten •via X (Twitter)

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Frontier-level performance, 3x faster than 2.5 Pro. Here's what to know about Gemini 3 Flash, from @TulseeDoshi ⚡
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Watch how Gemini 3 Flash compares to 2.5 Pro when generating SVG code and simple web apps. ↓
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I asked for a 3D spinning 'G' Google logo. Gemini 3 Flash was 3x faster, used 50% fewer tokens and gave much better results. Gemini 3 Flash: 6.6k tokens, 38s Gemini 2.5 Pro: 13k tokens, 108s You can use this AI Studio app to do your own comparisons:
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I asked for a 3D spinning 'G' Google logo. Gemini 3 Flash was 3x faster, used 50% fewer tokens and gave much better results. Gemini 3 Flash: 6.6k tokens, 38s Gemini 2.5 Pro: 13k tokens, 108s You can use this AI Studio app to do your own comparisons:

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Only 29 days after Pro: Gemini 3 Flash is just as smart (1477 LMSYS Elo), 4x cheaper, and sooo much faster! ⚡
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Only 29 days after Pro: Gemini 3 Flash is just as smart (1477 LMSYS Elo), 4x cheaper, and sooo much faster! ⚡

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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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Gemini 3 Flash can analyze high-fidelity images and use multimodal reasoning to determine next steps. See how the model understands complex visuals and generates layers of interactive elements.
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⚡️ 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
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⚡️ 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

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Listen up 🔊 We’ve made some updates to our Gemini Audio models and capabilities: — Gemini’s live speech-to-speech translation capability is rolling out in a beta experience to the Google Translate app, bringing you real-time audio translation that captures the nuance of human speech — Gemini 2.5 Flash and 2.5 Pro Text-to-Speech preview models bring improved adherence to style prompts, precision pacing with context-aware speed adjustments, and character voice consistency for multi-speaker scenarios — Gemini 2.5 Flash Native Audio is now updated, with improvements to handle complex workflows, navigate user instructions, and hold natural conversations
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Gemini 2.5 Flash can control a browser! Excited to share Gemini Browser Agent, a simple Python script example on how to use Google DeepMind Gemini 2.5 Flash and Browser Use to act as general assistant! 🤯 Usage Examples: 1⃣ Single Query Mode: `python scripts/gemini-browser-use.py --url --query "Summarize the key features of Gemini 2.5 Flash."` 2⃣Interactive Mode: Start an interactive session, optionally with a starting URL. `python scripts/gemini-browser-use.py` Command-line options: --model: The Gemini model to use (default: gemini-2.5-flash-preview-04-17) --headless: Run the browser in headless mode --url: Starting URL for the browser to navigate to before processing the query --query: Run a single query and exit (instead of interactive mode) Time to build a replication of Manus and OpenAI Operator powered by Gemini 2.5. Code below ⬇️
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We’re expanding the Gemini 3 family with the launch of Gemini 3 Flash. This model: — Combines Gemini 3’s Pro-grade reasoning with Flash-level latency, efficiency, and cost — Delivers frontier-level performance on PHD-level reasoning and knowledge benchmarks — Is our most impressive model for agentic workflows Watch Gemini 3 Flash handle hundreds of function calling options at low latency, compiling global recipes from 100 ingredients and 100 kitchen tools.
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We’re expanding the Gemini 3 family with the launch of Gemini 3 Flash. This model: — Combines Gemini 3’s Pro-grade reasoning with Flash-level latency, efficiency, and cost — Delivers frontier-level performance on PHD-level reasoning and knowledge benchmarks — Is our most impressive model for agentic workflows Watch Gemini 3 Flash handle hundreds of function calling options at low latency, compiling global recipes from 100 ingredients and 100 kitchen tools.

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gemini 3 flash is so crazy.. it can generate code for an interactive 3d car racing game in ~1 min, control speed and direction with hands, no need code, just text prompts its 100% free & a lot faster than 3 pro how to improve this, anyone?
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gemini 3 flash is so crazy.. it can generate code for an interactive 3d car racing game in ~1 min, control speed and direction with hands, no need code, just text prompts its 100% free & a lot faster than 3 pro how to improve this, anyone?

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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 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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Turn any website into AI art in under 30 seconds with Firecrawl + Imagen 4 🖼️ We built an open source app using @GoogleAIDevs new Gemini 2.5 Flash + Imagen models to turn scraped web content into fun generated visuals. Check out the tutorial video, blog, and repo below 👇
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Turn any website into AI art in under 30 seconds with Firecrawl + Imagen 4 🖼️ We built an open source app using @GoogleAIDevs new Gemini 2.5 Flash + Imagen models to turn scraped web content into fun generated visuals. Check out the tutorial video, blog, and repo below 👇

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Start building with Gemini 3 Pro, our most intelligent model with state-of-the-art reasoning and complex multimodal understanding, as well as powerful agentic and vibe coding capabilities. See more below:
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Start building with Gemini 3 Pro, our most intelligent model with state-of-the-art reasoning and complex multimodal understanding, as well as powerful agentic and vibe coding capabilities. See more below:

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Handle high-volume tasks with better speed and efficiency. Gemini 3 Flash is designed to lower latency and optimize costs for complex workflows. It helps you build, test, and deploy without the wait. Learn more →
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