Google Gemini 4 Carbon Now Available for n8n Workflows
In short: n8n has integrated Google's latest model, Gemini 4 Carbon, designed specifically for complex automation, cybersecurity tasks, and enhanced agent reliability. The model introduces significant improvements in handling long-running multi-step workflows and demonstrates robust defense against prompt injection attacks.
This summary was generated automatically by AI from n8n'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?
- 1Native support for Gemini 4 Carbon in n8n AI Agent and Google Gemini nodes
- 2Improved performance on automation benchmarks (53.9% on AutomationBench)
- 3High prompt injection resistance (0.0% success rate on Gray Swan benchmark)
- 4Introductory pricing valid until November 30, 2026
| Parameter | Before | Now |
|---|---|---|
| Input price (introductory) | Not specified | $2 per million tokens |
| Output price (introductory) | Not specified | $10 per million tokens |
| Input price (post-introductory) | Not specified | $4 per million tokens |
| Output price (post-introductory) | Not specified | $20 per million tokens |
Why it matters
For teams building automation, this model provides higher reliability when agents process untrusted external inputs like emails or webhooks. It allows for longer, more complex agent reasoning chains before failures occur, making it ideal for security-focused workflows.
What it means for AI agents and contact centers
Test this model for agentic workflows involving untrusted inputs, such as processing external logs or security webhooks. Compare its reasoning capabilities and ability to maintain context over long sequences against existing models in your stack to see if it reduces failure rates in your automation pipelines.
🧪 Worth Testing
The combination of high security benchmarks and better multi-step reasoning makes it a strong candidate for complex, autonomous agent tasks.
Sources
- n8nOfficialPrimary sourceOriginal article →„Build Safer n8n Agents and Workflows with Google Gemini 4 Carbon“10 Nov 2026, 18:43
- Published by source
- 10 Nov 2026, 18:43
- Found by our system
- 10 Nov 2026, 18:54
- Summary generated
- 10 Nov 2026, 19:55
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