# NGINX vs Traefik: which do AI models recommend for load balancers, October 2026

IT AI Recommendation Index, October 2026 Edition, Load balancers. Four of fourteen models named NGINX first on the direct prompt; zero named Traefik. Page: https://it-ai-index.com/network/load-balancers/nginx-vs-traefik/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| NGINX | 15% | #3 of 13 | 4% | 53 | 14 of 14 |
| Traefik | 2% | #6 of 13 | 0% | 21 | 10 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: nginx first (first choices: AWS Elastic Load Balancing, Azure Load Balancer, NGINX) (alternatives: Citrix ADC, F5, HAProxy)
- Grok 4.1 Fast: nginx first (first choices: HAProxy, NGINX) (alternatives: AWS ALB, Azure Load Balancer, Cloudflare Load Balancing, GCP Cloud Load Balancing, Progress Kemp LoadMaster)
- Qwen 3.7 Flash: nginx first (first choices: AWS Elastic Load Balancing, Azure Application Gateway, NGINX) (alternatives: Cloudflare Load Balancing, HAProxy)
- GLM 4.7 FlashX: nginx first (first choices: NGINX, Progress Kemp LoadMaster) (alternatives: F5 BIG-IP, HAProxy)
- Gemini 3.5 Flash: neither first, one named (first choices: Cloudflare Load Balancing) (alternatives: AWS Elastic Load Balancing, Azure Application Gateway, HAProxy, NGINX, Progress Kemp LoadMaster)
- DeepSeek V4 Flash: neither first, one named (first choices: Progress Kemp LoadMaster) (alternatives: AWS Application Load Balancer, Cloudflare Load Balancing, HAProxy, NGINX)
- MiniMax M2.5: neither first, one named (first choices: Progress Kemp LoadMaster) (alternatives: AWS Elastic Load Balancing, Azure Load Balancer, Cloudflare Load Balancing, GCP Cloud Load Balancing, NGINX)
- Muse Glimmer 30B: neither first, one named (first choices: Progress Kemp LoadMaster) (alternatives: AWS Elastic Load Balancing, Azure Load Balancer, Cloudflare Load Balancing, HAProxy, NGINX)
- GPT-5.4 mini: neither named (first choices: Application Load Balancer) (alternatives: Azure Load Balancer, Google Cloud's Application Load Balancer, Network Load Balancer)
- Perplexity Sonar: neither named (first choices: HAProxy) (alternatives: AWS Elastic Load Balancing, Azure Application Gateway)
- Mistral Small: neither named (first choices: Cloudflare Load Balancing) (alternatives: HAProxy, Progress Kemp LoadMaster, VMware Avi Load Balancer)
- Llama 4 Maverick: neither named
- Kimi K2: neither named (first choices: HAProxy, Progress Kemp LoadMaster) (alternatives: F5 NGINX)
- GPT-6 Luna: neither named (first choices: AWS Application Load Balancer) (alternatives: Azure Application Gateway, Azure Load Balancer, Cloudflare Load Balancing, Google Cloud Application Load Balancer, Google Cloud Network Load Balancer)

## What the models said about NGINX

- "running them on under-powered virtual machines ... creates a bottleneck" (Qwen 3.7 Flash, negative prompt, soft negative)
- "Don't use Nginx for complex load balancing - It's a web server first" (Kimi K2, negative prompt, soft negative)
- "A well-run software load balancer (HAProxy or NGINX) or a cloud-managed service will give you the performance, flexibility, and cost-effectiveness you need" (DeepSeek V4 Flash, scale prompt, first choice)
- "a cloud-based load balancer (if you're in the cloud) or Nginx (if on-premises) represents the best balance of cost, performance, and ease of management" (Claude Haiku 4.5, direct prompt, first choice)
- "The Industry Standard (Flexible & Powerful): NGINX ... If you are moving toward a microservices/Kubernetes architecture, transition to NGINX Ingress." (Qwen 3.7 Flash, direct prompt, first choice)

## What the models said about Traefik

- "For most small businesses today, Traefik offers the best balance of cost (free), ease of management (auto-discovery), and functionality" (Qwen 3.7 Flash, budget prompt, first choice)
- "Cloud-native champion - designed for containers ... Kubernetes/container-heavy | Traefik or NGINX Ingress" (Kimi K2, comparative prompt, first choice)
- "If you run Docker/Kubernetes: Go with Traefik. It integrates seamlessly and reduces operational overhead." (Kimi K2, budget prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.