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Load balancers · October 2026 Edition

AWS Elastic Load Balancing vs Traefik

Two of fourteen models named AWS Elastic Load Balancing first on the direct prompt; zero named Traefik. AWS Elastic Load Balancing was named by thirteen of the fourteen models and Traefik by ten and AWS Elastic Load Balancing carries 33 labels and Traefik 21, so the shares are not directly comparable.

AWS Elastic Load Balancing

accepted challenger

Named in one category this edition.

Traefik

accepted challenger

Named in two categories this edition.

First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 13; printed, not drawn.
Labels3321A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, AWS Elastic Load Balancing reading right to left. Rank and label count are printed, not drawn.HAProxy was named alongside these two in ten of the fourteen direct answers. HAProxy vs AWS Elastic Load Balancing · HAProxy vs Traefik · Progress Kemp LoadMaster vs AWS Elastic Load Balancing

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; every quote names the model and the prompt it came from. Both figures come from the load balancers page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
AWS Elastic Load BalancingFirst choices, of fourteen modelsTraefik
Direct20
Paraphrase00
Comparative31
Budget-constrained112 against AWS Elastic Load Balancing
Scale-constrained00
Negative202 against AWS Elastic Load Balancing
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, AWS Elastic Load Balancing and Traefik were named in the same answer twenty-four times, of the 93 answers naming AWS Elastic Load Balancing and the 55 naming Traefik. In those answers Traefik took the first choice two times and AWS Elastic Load Balancing eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where AWS Elastic Load Balancing and Traefik stood in it.
ModelDirectAEParaphraseAEComparativeAEBudget-constrainedAEScale-constrainedAENegativeAE
Claude Haiku 4.5AEAEAE
GPT-5.4 mini
Gemini 3.5 FlashAEAEAE
Perplexity SonarAE
Grok 4.1 FastAEAEAEAE
Mistral SmallAEAE
DeepSeek V4 FlashAEAE
Llama 4 Maverick
Qwen 3.7 FlashAE
Kimi K2AEAE
GLM 4.7 FlashXAE
MiniMax M2.5AEAEAE
GPT-6 LunaAE
Muse Glimmer 30BAE
AE AWS Elastic Load Balancing TraefikAE first choiceAE named as an alternativeAE argued againstblank: not namedEach cell is one answer, AWS Elastic Load Balancing on the left and Traefik on the right.

The direct prompt

The plain question, one answer per model, grouped by where AWS Elastic Load Balancing and Traefik stood in it.

AWS Elastic Load Balancing first, Traefik not the choice

2 of 14 modelsTraefik was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5AWS Elastic Load Balancing, Azure Load Balancer, NGINX alternatives: Citrix ADC, F5, HAProxy
Qwen 3.7 FlashAWS Elastic Load Balancing, Azure Application Gateway, NGINX alternatives: Cloudflare Load Balancing, HAProxy

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashCloudflare Load Balancing alternatives: AWS Elastic Load Balancing, Azure Application Gateway, HAProxy, NGINX, Progress Kemp LoadMaster
Perplexity SonarHAProxy alternatives: AWS Elastic Load Balancing, Azure Application Gateway
MiniMax M2.5Progress Kemp LoadMaster alternatives: AWS Elastic Load Balancing, Azure Load Balancer, Cloudflare Load Balancing, GCP Cloud Load Balancing, NGINX
Muse Glimmer 30BProgress Kemp LoadMaster alternatives: AWS Elastic Load Balancing, Azure Load Balancer, Cloudflare Load Balancing, HAProxy, NGINX

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniApplication Load Balancer alternatives: Azure Load Balancer, Google Cloud's Application Load Balancer, Network Load Balancer
Grok 4.1 FastHAProxy, NGINX alternatives: AWS ALB, Azure Load Balancer, Cloudflare Load Balancing, GCP Cloud Load Balancing, Progress Kemp LoadMaster
Mistral SmallCloudflare Load Balancing alternatives: HAProxy, Progress Kemp LoadMaster, VMware Avi Load Balancer
DeepSeek V4 FlashProgress Kemp LoadMaster alternatives: AWS Application Load Balancer, Cloudflare Load Balancing, HAProxy, NGINX
Llama 4 Maverickno first choice
Kimi K2HAProxy, Progress Kemp LoadMaster alternatives: F5 NGINX
GLM 4.7 FlashXNGINX, Progress Kemp LoadMaster alternatives: F5 BIG-IP, HAProxy
GPT-6 LunaAWS Application Load Balancer alternatives: Azure Application Gateway, Azure Load Balancer, Cloudflare Load Balancing, Google Cloud Application Load Balancer, Google Cloud Network Load Balancer

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
AWS Elastic Load Balancing leads by nine points.
AWS Elastic Load Balancing10%#4 of 13
Traefik1%#10 of 13
The full small business standing →
Mid-marketThe figures above
AWS Elastic Load Balancing leads by four points.
AWS Elastic Load Balancing6%#4 of 13
Traefik2%#6 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
AWS Elastic Load Balancing0%#9 of 10
Traefik0%#– of 10
The full enterprise standing →

What the models said about AWS Elastic Load Balancing

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Avoid cloud-native load balancers (like AWS ALB/ELB) if your budget is tight” Kimi K2 · budget prompt · hard negative
“Cloud-native load balancers (AWS ELB, Azure LB, GCP LB) excel in their ecosystems but may lack deep packet inspection” MiniMax M2.5 · negative prompt · soft negative
“Relies on CloudWatch; tuning timeouts/limits needed.” Grok 4.1 Fast · negative prompt · soft negative
“Cloud-native load balancers (AWS ALB, Azure LB) are often the best fit - they scale automatically, integrate with your infrastructure, and have predictable costs” Claude Haiku 4.5 · direct prompt · first choice
“For very small budgets: Start with cloud-native load balancers (AWS ALB, etc.) as they eliminate upfront costs” MiniMax M2.5 · budget prompt · first choice
“Prefer managed cloud-native: AWS ALB/NLB, GCP Premium/Global, Azure Standard—high reliability scores” Grok 4.1 Fast · negative prompt · first choice

What the models said about Traefik

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“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
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.