Google makes Gemini 4 Carbon generally available via API, Gemini app, AI Mode and Antigravity, at the same introductory price as Gemini 4 Argon
Edited by Elliot Marsh, Editor · written with AI from the linked sources (how)
Gemini 4 Carbon, Google's top model, moved from limited cybersecurity-defender access (Fairwind Program, two weeks earlier) to broad availability. It is in the API in Google AI Studio and Gemini for business for all paying developers and enterprises at $2 per million input tokens and $10 per million output tokens (the same introductory price as Gemini 4 Argon). It is rolling out to Google AI Ultra subscribers in Google Antigravity, the Gemini app and AI Mode in Search. A /swarm multi-agent feature is in preview in Google Antigravity. A new Multimodal Knowledge Agent (MKA) benchmark was launched with Artificial Analysis.
Entities: Google, Google DeepMind, Koray Kavukcuoglu, Gemini 4 Carbon, Gemini 4 Argon, Google Antigravity
3 primary
What happened
Google has made Gemini 4 Carbon, its top model, generally available about two weeks after limited access for cybersecurity defenders under the Fairwind Program. It is in the API (Google AI Studio and Gemini for business) for all paying developers and enterprises at $2 per million input tokens and $10 per million output tokens, the same introductory price as Gemini 4 Argon. It is rolling out to Google AI Ultra subscribers in Antigravity, the Gemini app and AI Mode in Search. A /swarm multi-agent feature is in preview in Antigravity, and Google launched a new Multimodal Knowledge Agent (MKA) benchmark with Artificial Analysis.
Why it matters
Developers and enterprises can now test Google's strongest model on production workloads at a price equal to the cheaper Argon tier, which makes the cost-versus-quality comparison with rival models easy to run. Teams doing complex coding, agentic or security work have a concrete reason to run their own trials this week. Consumer impact is narrower, since app and Search access is limited to Ultra subscribers and is still rolling out. The word "introductory" means the price may rise, so budgets should not assume it holds.
What is noise
The "#1" rankings on CursorBench 4.0, WANDR and AutomationBench, the "2X lower cost per task" claim, and the Project Fortify figures (100% recall, 95% precision) are all Google's own reporting, and the Fortify numbers come from an internal benchmark. MKA is a new benchmark co-launched by Google, and "#2" on it says little about real workloads. "Strongest model" is a marketing superlative, and the cyber capability itself was already known from the earlier limited release.
Watch next
- 01Independent evaluations (Artificial Analysis, LMArena, third-party coding and agent tests) that reproduce or contradict the claimed #1 rankings and the cost-per-task advantage.
- 02Whether the introductory price is raised or ended, and how rate limits, latency and reliability hold up as paying developers scale up usage.
- 03Evidence of real adoption: named customers moving production workloads to Carbon, plus whether the Antigravity /swarm preview reaches general availability and works reliably.
Coverage
8 stories- llm-gemini 0.36Simon Willison · 10 Nov 2026Tier 3
- Gemini 4 Carbon is now availableGoogle Gemini Blog · primary · 10 Nov 2026Tier 1
- Google releases Gemini 4 Carbon with agent ‘swarm’ featureThe Verge AI · 10 Nov 2026Tier 2
- Gemini 4 Carbon arrives just in time to feel like yesterday's news in the fastest model cycle yetThe Decoder · 10 Nov 2026Tier 2
- Gemini 4 Hydrogen: everyday coding and agentic workflows for developersGoogle Gemini Blog · primary · 12 Nov 2026Tier 1
- Introducing Gemini 4 HydrogenGoogle Gemini Blog · primary · 12 Nov 2026Tier 1
- Google's Gemini 4 Hydrogen outscores the bigger Argon just four weeks after its launchThe Decoder · 12 Nov 2026Tier 2
- llm-gemini 0.37Simon Willison · 12 Nov 2026Tier 3
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