Models & Labs
Google launches Gemini 4 Carbon with agent swarm
The Verge AIhigh confidence
Why it matters
- →Gemini 4 Carbon targets high-complexity reasoning tasks where previous models struggled.
- →The 'swarm' feature introduces a new paradigm for multi-agent orchestration in production.
- →Aggressive pricing undercuts major competitors, potentially shifting enterprise adoption dynamics.
Google has released Gemini 4 Carbon to the public via the Gemini API and Google AI Studio, positioning it as its most capable model for complex coding and scientific research. The release includes a preview of 'swarm' technology on the Antigravity platform, enabling users to deploy coordinated teams of AI agents from a single prompt. Pricing is set at $2 per million input tokens and $10 per million output tokens, roughly one-fifth the cost of OpenAI’s GPT-6 Astra during the introductory period. This launch marks Google's decisive return to the forefront of frontier AI development, challenging the dominance previously held by Anthropic and OpenAI.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1Google's Gemini 3.6 Flash Cuts Enterprise Token Costs
AI News · July 21, 2026 · Related
- 2Google DeepMind Unveils Gemini Robotics 2
WIRED AI · July 30, 2026 · Related
- 3Google Gemini Spark AI Agent Released
Lev Selector · August 7, 2026 · Related
- 4Google's August AI Innovations: Gemini and Beyond
Google AI Blog · September 1, 2026 · Related
- 5Google Launches Gemini 3.8 Flash Model
The Verge AI · September 2, 2026 · Related
- 6Google releases Gemini 4 Argon with restricted access
The Verge AI · September 30, 2026 · Related
- 7Google Announces Gemini 4 Argon with 1M Token Output
Sam Witteveen · October 1, 2026 · Same story
- 8Google launches agentic Gemini for enterprise
TechCrunch AI · October 8, 2026 · Same story
What happened next
- 9Google Releases Gemini 4 Carbon Model
The AI Daily Brief · November 12, 2026 · Same story
- 10Google deploys Gemini 4 Hydrogen for faster Search
TechCrunch AI · November 12, 2026 · Related
Follow this story
Open the full story →Google launches Gemini 4 Carbon for cybersecurity
11 developments
- Oct 28 · The Verge AI
Google launches Gemini 4 Carbon for cybersecurity - Oct 29 · Matthew Berman
Google Gemini 4 Carbon wins benchmarks↳ Gemini 4 Carbon wins recent benchmark leaderboards. - Oct 29 · The Rundown AI
Google Gemini 4 Carbon tops benchmarks - Oct 30 · The AI Daily Brief
Google's Gemini 4 Carbon Tops New AI Leaderboard - Oct 30 · Lev Selector
Google Gemini 4 Carbon Leads LM Arena Leaderboard↳ Gemini 4 Carbon tops the LMSYS Chatbot Arena leaderboard. - Oct 30 · Matt Wolfe
Google Releases Gemini 4 Carbon for Cost-Efficient Inference↳ Gemini 4 Carbon is optimized for cost-efficient inference tasks. - Nov 2 · AI Explained
Google Launches Gemini 4 Carbon for Efficiency - Nov 10 · The Verge AI
Google launches Gemini 4 Carbon with agent swarm (This article)↳ Gemini 4 Carbon includes an agent swarm feature for orchestrating multiple agents from a single prompt. - Nov 10 · Sam Witteveen
Gemini 4 Carbon Launches for General Access - Nov 10 · GitHub Changelog
Gemini 4 Carbon arrives in GitHub Copilot↳ Gemini 4 Carbon is now available in GitHub Copilot for developers. - Nov 10 · AI Explained
Google Launches Gemini 4 Carbon for High-Throughput Tasks
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llama.cpp b12340 adds CUDA 13 and ROCm 10.0
This release quietly closes the hardware gap for local inference by adding default support for CUDA 13 and ROCm 10.0 across Linux and Windows. Users with newer NVIDIA GPUs or AMD accelerators no longer need to compile from source to get performance, while Apple Silicon builds now ship KleidiAI disabled by default, shifting the focus back to standard ARM optimizations. The inclusion of Snapdragon support for Linux and Android marks a significant step toward on-device AI beyond the x86/ARM desktop ecosystem. It is less about new features and more about ensuring llama.cpp remains the universal runtime for every available accelerator.
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