Index › IT › Network and edge › Load balancers › NGINX vs AWS Elastic Load Balancing
Load balancers · November 2026 Edition

NGINX vs AWS Elastic Load Balancing

Three of fourteen models named NGINX first on the direct prompt; zero named AWS Elastic Load Balancing. Both were named by all fourteen models and NGINX carries 57 labels and AWS Elastic Load Balancing 34, so the shares are not directly comparable.

NGINX

accepted challenger

Named in four categories this edition.

AWS Elastic Load Balancing

accepted challenger

Named in one category this edition.

First-choice share16%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 16; printed, not drawn.
Labels5734A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, NGINX reading right to left. Rank and label count are printed, not drawn.HAProxy was named alongside these two in eleven of the fourteen direct answers. HAProxy vs NGINX · HAProxy vs AWS Elastic Load Balancing · NGINX vs Kemp LoadMaster

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.
NGINXFirst choices, of fourteen modelsAWS Elastic Load Balancing
Direct301 against AWS Elastic Load Balancing
Paraphrase001 against NGINX
Comparative01
Budget-constrained311 against AWS Elastic Load Balancing
Scale-constrained21
Negative003 against NGINX · 1 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 November 2026 Edition, NGINX and AWS Elastic Load Balancing were named in the same answer eighty-nine times, of the 213 answers naming NGINX and the 104 naming AWS Elastic Load Balancing. In those answers AWS Elastic Load Balancing took the first choice fifteen times and NGINX fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where NGINX and AWS Elastic Load Balancing stood in it.
ModelDirectAEParaphraseAEComparativeAEBudget-constrainedAEScale-constrainedAENegativeAE
Claude Haiku 4.5AEAE
GPT-5.4 mini
Gemini 3.5 FlashAEAE
Perplexity SonarAEAEAE
Grok 4.20AEAEAEAE
Mistral SmallAEAE
DeepSeek V4 FlashAEAEAEAEAE
Llama 4 MaverickAE
Qwen 3.7 FlashAEAE
Kimi K2AE
GLM 4.7 FlashXAE
MiniMax M2.5AEAE
GPT-6 Luna
Muse Glimmer 30BAEAE
NGINXAE AWS Elastic Load Balancing first choice named as an alternative argued againstblank: not namedEach cell is one answer, NGINX on the left and AWS Elastic Load Balancing on the right.

The direct prompt

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

NGINX first, AWS Elastic Load Balancing not the choice

3 of 14 modelsAWS Elastic Load Balancing was named in the answer but not as the choice, or not at all.
Mistral SmallNGINX alternatives: Citrix ADC, F5 BIG-IP, HAProxy, Kemp LoadMaster, Loadbalancer.org Enterprise ADC
Llama 4 MaverickNGINX alternatives: Citrix ADC, F5 BIG-IP, HAProxy, Kemp LoadMaster
Qwen 3.7 FlashNGINX alternatives: Application Load Balancer, HAProxy

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5AWS Application Load Balancer, Azure Load Balancer, Network Load Balancer alternatives: Google Cloud Load Balancing, NGINX
Gemini 3.5 FlashCloudflare Load Balancing alternatives: AWS Application Load Balancer, Azure Application Gateway, GCP Cloud Load Balancing, HAProxy, NGINX, Progress Kemp LoadMaster
Perplexity SonarProgress Kemp LoadMaster alternatives: AWS Elastic Load Balancing, Cloudflare Load Balancing, HAProxy, NGINX
Grok 4.20HAProxy alternatives: AWS Elastic Load Balancing (ELB) – ALB/NLB, Cloudflare Load Balancing, Loadbalancer.org Enterprise ADC, NGINX, Progress Kemp LoadMaster
DeepSeek V4 FlashHAProxy, Progress Kemp LoadMaster alternatives: NGINX
GLM 4.7 FlashXProgress Kemp LoadMaster alternatives: Cloudflare Load Balancing, HAProxy, NGINX
MiniMax M2.5no first choice alternatives: AWS Application Load Balancer, Azure Load Balancer, Citrix ADC, F5 BIG-IP, Google Cloud Load Balancing, HAProxy, NGINX
Muse Glimmer 30BHAProxy alternatives: AWS Elastic Load Balancing, Azure Load Balancer, NGINX, Progress Kemp LoadMaster

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniAWS Application Load Balancer alternatives: AWS Network Load Balancer, Cloudflare Load Balancing, Google Cloud Application Load Balancer
Kimi K2Kemp LoadMaster alternatives: HAProxy
GPT-6 LunaApplication Load Balancer alternatives: Application Gateway, External Application Load Balancer, Front Door, 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 two points.
AWS Elastic Load Balancing14%#2 of 14
NGINX12%#3 of 14
The full small business standing →
Mid-marketThe figures above
The order flips: NGINX leads at mid-market.
NGINX16%#2 of 16
AWS Elastic Load Balancing4%#5 of 16
The full mid-market standing →
Enterprise
The order flips: AWS Elastic Load Balancing leads at enterprise.
AWS Elastic Load Balancing5%#5 of 16
NGINX2%#6 of 16
The full enterprise standing →

What the models said about NGINX

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

“Recent critical vulnerabilities (e.g., CVEs from 2024–2026 patches by F5) can lead to crashes, denial-of-service (DoS), or remote code execution.” Grok 4.20 · negative prompt · soft negative
“Running a single NGINX or HAProxy instance as your load balancer creates a single point of failure” Kimi K2 · negative prompt · soft negative
“Consider NGINX Plus or HAProxy Enterprise if you have strong Linux/SysAdmin skills. They offer the best performance-to-cost ratio” Qwen 3.7 Flash · scale prompt · first choice
“Kemp LoadMaster (mid-size friendly ADC) and NGINX Plus (if you have Linux/NGINX skills) are strong fits” DeepSeek V4 Flash · scale prompt · first choice
“NGINX Plus often being the best fit for mid-market B2B companies seeking a reliable and scalable solution” Mistral Small · direct prompt · first choice

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 seven in this category shown.

“Internet-facing AWS ALB/NLB or similar cloud LBs when they should be internal: A very common misconfiguration exposes backend services publicly.” Grok 4.20 · negative prompt · soft negative
“may be overkill unless you're already using those cloud platforms” DeepSeek V4 Flash · budget prompt · soft negative
“Companies fully committed to AWS (but creates vendor lock-in)” DeepSeek V4 Flash · direct prompt · soft negative
“Fully in AWS/Azure/GCP: Stick to native cloud load balancers (AWS ALB/NLB, Azure ALB, GCP Cloud LB). It minimizes overhead” Gemini 3.5 Flash · scale prompt · first choice
“1 | AWS Elastic Load Balancing (ALB/NLB/GWLB) | Cloud-native (AWS) | AWS-centric apps, microservices, containers” Grok 4.20 · comparative prompt · first choice
“often recommended as the top choice for small businesses because it offers a free tier” Mistral Small · budget prompt · first choice
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.