Google launches Gemini 4 Carbon for advanced reasoning and agentic tasks
In short: Google has released Gemini 4 Carbon, a new frontier model built for complex, multi-step reasoning, software engineering, and high-stakes cybersecurity tasks. Available now via API and in Google Antigravity, it features improved performance in agentic loops and production economics.
This summary was generated automatically by AI from Google DeepMind's publication. It is our own text, not a copy of the original — facts, figures and quotes belong to the source, linked above and below.
What changed?
- 1Released for developers and enterprise use via API and Google Antigravity.
- 2Introduced /swarm feature for orchestrating multiple agent teams.
- 3Frontier performance on complex coding, debugging, and scientific research benchmarks.
- 4Pricing set at $2/M input tokens and $10/M output tokens.
| Parameter | Before | Now |
|---|---|---|
| Input price | Not specified | $2 per million tokens |
| Output price | Not specified | $10 per million tokens |
Why it matters
This model is designed for deep architectural design and auditing tasks where accuracy is critical. Its ability to handle long-horizon agentic workflows can significantly improve automation quality in software development and data analysis.
What it means for AI agents and contact centers
When testing this model for your agentic frameworks, compare its 'reasoning depth' and 'verification loops' against Argon or other models. Test its performance in multi-agent orchestration via /swarm to see if it reduces error rates in complex task execution.
🧪 Worth Testing
Testing is recommended to evaluate its handling of long-horizon tasks and formal code verification, which could improve the stability and logic of automated systems.
Sources
- Google DeepMindOfficialPrimary sourceOriginal article →„Gemini 4 Carbon is now available“10 Nov 2026, 18:03
- Published by source
- 10 Nov 2026, 18:03
- Found by our system
- 10 Nov 2026, 18:24
- Summary generated
- 10 Nov 2026, 19:25
This article was written by AI from the original source. Facts, numbers and prices come from the source; missing values are marked “Not specified”. Legal notice, copyright and privacy