Discover the latest developer tools, resources, events, and announcements to help you build smarter, ship faster. 🚀

📣 Gemini 4 Argon is here! Built to solve your hardest problems, Argon excels at real-world software engineering, enterprise workflows, cybersecurity defense, and scientific reasoning. By reliably handling routine tasks like everyday debugging to complex problems like codebase migrations, it frees developers to focus on architecture and product innovation. See what you can build with Argon ↓
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Analyzing long-form video in the Gemini API just got more accurate and up to 66% cheaper. Agentic video understanding uses tool calls to fetch only the media slices your prompt calls for. Read the full developer guide ↓
Article

Agentic video understanding in Gemini: Developer Guide

Analyzing long-form video in multimodal LLMs has traditionally relied on uniform sampling: decoding the full timeline at a fixed static frame rate (typically 1 FPS) and filling the context window with

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Reconstructing ancient ruins in 3D with Gemini 4 Argon 🏛️ Using Google @Antigravity and Blender MCP, see how Gemini 4 Argon supports digital heritage preservation by turning raw, fragmented archaeological data into fully explorable 3D worlds.
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We can't wait to see what you build with Argon!
We’re rolling out Gemini 4 Argon in Antigravity to paid Google AI Pro subscribers today. Demand has been incredible and we've scaled capacity deliberately to get here. We’ve rolled out a separate weekly-only Argon quota for Pro on top of the existing Gemini bucket for 3.8 Flash so you have the best of Gemini for all your tasks.
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Early reactions for Gemini 4 Argon 🧪 Check out how our partners with early access integrated the model into their developer tools ⬇️
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Gemini 4 Argon, @Google’s flagship reasoning model, is now supported on LiteLLM! Launch pricing until Nov 30: Input: $2.00 / MTok Output: $10.00 / MTok Cache read: $0.10 / MTok Pricing and limits: models.litellm.ai/models/gem…
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Gemini 4 Argon is available in Factory, day 0. Observations so far: - Fixed input validation without breaking existing functionality - Delivered a multi-module app with idempotent behavior at high effort
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The community is putting Gemini 4 Argon to work 👏 See how they're experimenting with Argon across different projects 🧵
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Replying to @LexnLin
1/ threejs test. everything here is code and no assets were used.
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Replying to @ai_for_success
4/4 Gemini 4 Argon in Antigravity built the entire project, from modeling the robot arms in Blender to the 3D simulation in Three.js. Gemini then used the Interactions API to solve the cube. Zero hints. It only gets the raw 54-sticker state, with no scramble history, depth hints, or external solver. It has just 16 tool calls to test moves and figure out the solution itself.
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🏁 Taking Gemini 4 Argon for a spin in Google @Antigravity. Learn how @genevieve__h transforms a desk photo into an interactive 3D racing game by using Argon to orchestrate subagents and leverage Nano Banana to generate assets for the build.
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