Gemini 4 Carbon, the next iteration of our frontier model is coming. Building on Argon with stronger coding and cybersecurity. Same $2 in / $10 out*. Scores 59 on AA v5. In testing with trusted partners. Developer access as soon as possible. Looking forward to sharing this with you!

Genie 4 is here and it comes native audio, characters that move and talk, sharper physics, and live prompt edits. Genie is a real-time multimodal world model that renders playable environments frame by frame in response to your live keyboard controls and text prompts. Sign up for the waitlist (Google AI Ultra goes first): More Examples at:

We launched the Gemini API CLI. A CLI for calling the Gemini API. Give it to the agent you already use (Claude Code, Codex, Antigravity, Cursor, OpenClaw, Hermes...). It's NOT a new coding agent you can use it too: 1. Generate images, video, speech, music. 2. Analyze PDFs, images, audio, video, YouTube URLs, 3. Transcribe recordings to md / json / srt, 4. Run Deep Research in the background. Stateless. No memory, no chat mode. Your agent owns the context and the plan, gemini-api does the API call. Build for Agents, it's self-describing. `--help`, `--dry-run`... Start here:

The easiest way to try Gemini 4 Argon in an agentic environment is Gemini Managed Agents. A single API call gets you - Python, Node.js, Git, and Bash. - Full network access and control. - Dedicate Credentials API. - Filesystem to persist work. - Background Support.

Can Agents improve their own harness on unseen tasks? The @GoogleResearch team released Harness², a framework that allows improve an harness around a frozen model. How it works: 1️⃣ Agent runs the base harness on each task to record a baseline trajectory 2️⃣ Editor agent inspects the trajectory, drafts 2 candidate edits (SI, Skills, hooks,….), and runs both. 3️⃣ Composer agent diffs the new trajectory against the baseline, merges edits that fixed failures (within a cap), and runs the final harness. 4️⃣ Reflector agent logs verified lessons into file and saves the winning components to a library for future tasks to pull on demand. Results: - 💡 Gemini 3.5 Flash +8.4 on WorkBuddy-Bench and +7.5 on JobBench. - 🛠️ Skills and scripts drive ~50% of edits; dropping skills costs 5.3 pts. - 📚 Gemini 3.5 Flash improves on all 3 benchmarks when editing its own harness. Paper: Code:

The new Gemma docs! 🥁🥁🥁 From capabilities, to fine-tuning guides, inference optimizations and educational content on how the models work. All at central place!

Gave Gemini 4 Argon a photo of the Manhattan skyline asked it to recreate it as oil painting. It wrote a multi-pass canvas renderer that starts with broad background strokes, blocks in the buildings and river, and finishes with fine specular highlights on the water.

Will be at @aiDotEngineer in NYC this week! 🔥 - Building a autonomous coworker | 10/14 2:55pm - @GoogleDeepMind Booth | most of the time Come by if you build agents, evals or have feedback about Gemini.

SynthID Detector ( is now publicly available, supporting the Nano Banana 2.1, @OpenAI, @nvidia, Kakao, and soon @Apple. 🌐 Verify if an image, video, or audio file was generated: 1️⃣ Upload or paste your file at 2️⃣ Scans for watermarks from Google or our partners (files are deleted right after)

EmbeddingGemma 2 is out! Our first native multimodal embeddings built on Gemma 4 under Apache 2.0. 🤗 Embeds 100+ languages, code, images, audio, and video into one vector. 🧮 8,192 context 3️⃣ 740M omni, 440M text+vision, 570M text+audio, or 270M text-only 📈 +14% jump on MTEB Code 🪆 Matryoshka: 768d, 512d, 256d, or 128d 🤗 Available in Sentence Transformers and LiteRT-LM 🔓 Apache 2.0

Nano Banana 2.1 (`gemini-nano-banana-2.1`) is now available. Outperforming previous Pro model at 4x cheaper price (now $0.034 per image vs $0.134). 🕒 Improved instruction following 🔤 Better in-image text rendering 🔍 Grounded with Google Image Search 🎭 up to 5 characters consistency + 14 references images Available in @GoogleAIStudio, the Gemini API, @googlecloud, the @GeminiApp, and @FlowbyGoogle: