- Gemini 4 Carbon is Google's strongest reasoning model, spending more reasoning tokens on hypothesis exploration and verification in complex tasks
- Supports a unified ~1.05M-token context window, with max output extendable to the same scale via Long Decode
- Introductory pricing is $2 per million input and $10 per million output tokens, doubling after November 30, 2026
AI CURATED HOT STORY · 11/11/2026
Google Releases Gemini 4 Carbon and Previews Agent Swarm
Google has made Gemini 4 Carbon, its most powerful model to date, available to all paid developers and AI Ultra subscribers, just two weeks after a targeted release to cybersecurity defenders through the Fairwind program. Carbon is positioned for extreme complex tasks such as multi-step coding, open-ended research, and cybersecurity, complementing the earlier Gemini 4 Argon, which remains the go-to for most software engineering and knowledge work.
Technically, Carbon ranks first on CursorBench 4.0, WANDR, and AutomationBench, with per-task cost less than half that of the next-best external model. Early tests show its Terminal-Bench cheating rate and prompt injection success rate on the Gray Swan benchmark both dropped to 0%, secure code writing is twice as fast as Argon, and it discovered 88% of vulnerabilities on Sec-Bench Pro. Pricing matches Argon at $2/$10 per million input/output tokens, with a 95% discount on cached input, though it consumes more tokens during reasoning and verification. Additionally, Google previewed a swarm feature on its Antigravity agent platform to enhance long-horizon agent collaboration.
This move signals Google's return to the front tier, competing with Anthropic and OpenAI. Carbon's breakthroughs in security and long-horizon tasks provide a reliable foundation for unattended agents, while the swarm feature points to a future of multi-agent collaboration, potentially reshaping how developers build complex AI applications.
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Coverage timeline
Total 10 reports · Latest first- IT之家 · 智能时代T2·88 pts
- Simon Willison 博客T2·78 pts
- Gemini 4 Carbon moves from limited preview to general availability as Google's strongest Gemini
- Launch pricing of $2/$10 per million tokens doubles to $4/$20 on December 1
- Supports low, medium and high thinking efforts with medium as default, tested in Antigravity IDE
- Arena.ai (@arena)T1·58 pts
- On typical tasks, GPT-6 Astra and Claude Opus 5.5 cost roughly 3.4x and 3.9x as much as Gemini 4 Carbon
- Across the priciest 5% of sessions, Opus rises to 4.2x and Astra's relative cost nearly doubles, widening Carbon's edge
- GPT-6.1 Sol is cheaper on typical tasks at about 0.54x of Carbon, but that discount shrinks as tasks get harder
- The DecoderT2·72 pts
- Gemini 4 Carbon is now GA after a two-week testing phase, targeting multi-step coding, debugging and research alongside Argon
- Carbon consumes more tokens than Argon, a cost factor for model selection
- Antigravity previews /swarm, turning one prompt into a team of agents that split tasks in real time
- 宝玉 (@dotey)T2·58 pts
- A builder agent generates 3D models in Blender and Three.js while a reviewer agent inspects its own renders and iterates
- The output is a playable 3D game of a pelican biking around Google's Mountain View campus
- The demo is testable online via Google AI Studio
- Rohan Paul (@rohanpaul_ai)T2·78 pts
- Gemini 4 Carbon exits a two-week Fairwind cybersecurity-only preview and opens to all paying developers and AI Ultra subscribers
- Pricing matches Gemini 4 Argon at $2/$10 per 1M input/output tokens, but it spends more tokens on reasoning and verification
- Ranks first on CursorBench 4.0, WANDR and AutomationBench at less than half the per-task cost of the next-best outside model
- GREG ISENBERG (@gregisenberg)T2·78 pts
- Zero shortcut rate on Terminal-Bench and 0% prompt-injection success enable unattended agents
- 2x secure-code rate of Argon and 88% vulnerability detection on Sec-Bench Pro
- $2/$10 per million tokens with 95% cached-input discount makes long-running agents affordable
- Hacker News AIT2·88 pts
- Carbon is Google's strongest model, emphasizing cybersecurity and long-horizon agentic workflows
- It tiers with Gemini 4 Argon: Argon for most engineering and knowledge work, Carbon for extreme complex tasks
- Previously opened to cybersecurity defenders via the Fairwind Program, now broadly available
- Google DeepMindT1·88 pts
- Gemini 4 Carbon is now broadly available and is Google's strongest model to date
- It targets cybersecurity and long-horizon agentic workflows, including complex multi-step coding and open-ended research
- It tiers with Gemini 4 Argon, which remains the default for mainstream software engineering and knowledge work
- The Verge AIT2·88 pts
- Carbon targets intelligence-limit tasks while Argon remains the default for most software engineering and knowledge work
- Antigravity previews a swarm feature aimed at long-horizon agent collaboration
- Google rejoins the frontier top tier, turning a two-horse race into a three-way contest