Gemini 4 Carbon Now Generally Available: Paid Gemini API Developers and Ultra Subscribers Get Access Today at an Introductory $2 / $10 per Million Tokens, as Antigravity Previews Multi-Agent /swarm
On November 10, Google opened Gemini 4 Carbon to developers, enterprises, scientists, and consumers. Two weeks ago it was limited to cybersecurity defenders in the Fairwind Program. Now every paying developer can call it through the Gemini API in Google AI Studio and Android Studio and through Gemini for business, and Google AI Ultra subscribers can use it in the Gemini app, AI Mode in Search, and Google Antigravity. The introductory price matches Argon at $2 / $10 per million input / output tokens, rising to $4 / $20 after November 30. Google is also previewing /swarm in Antigravity, which turns one prompt into a team of coordinated agents.

Key Takeaways
- Who gets it: the paid Gemini API tier (Google AI Studio, Android Studio) and Gemini for business for all paying developers and enterprises; Google AI Ultra subscribers can use it in the Gemini app, AI Mode in Search, Antigravity, and AI Studio (official blog)
- Pricing: $2 / $10 per million input / output tokens during the introductory period (same as Argon), then $4 / $20 after November 30
- Third-party rankings (as cited by Google): #1 on CursorBench 4.0, Perplexity's WANDR, and Zapier's AutomationBench at more than 2x lower cost per task than the next best external model; #2 on Artificial Analysis's new Multimodal Knowledge Agent (MKA) benchmark at more than 6x lower average cost per task than the leader
- New feature: Antigravity previews /swarm, which turns one prompt into a team of agents; Carbon handles architecture, coordination, and auditing while lighter models code and test in parallel isolated workspaces
- Safety figures: blocked 99% of attack trajectories in simulated cyberattack tests with a 0.8% per-attempt breach rate (3.1% on Argon); passed 92% of a 375-task agentic honesty benchmark (70% for Argon)
- Positioning: Argon stays the default for most coding and knowledge work, while Carbon spends more tokens to dig deeper on the hardest work such as multi-step debugging and research



