Load balancers · November 2026 Edition
AWS Elastic Load Balancing vs A10 Thunder ADC
Zero of fourteen models named AWS Elastic Load Balancing first on the direct prompt; zero named A10 Thunder ADC. AWS Elastic Load Balancing was named by fourteen of the fourteen models and A10 Thunder ADC by ten and AWS Elastic Load Balancing carries 34 labels and A10 Thunder ADC 10, so the shares are not directly comparable.
AWS Elastic Load Balancing
accepted challengerNamed in one category this edition.
Named in one category this edition.
First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 16; printed, not drawn.
Labels3410A 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.NGINX was named alongside these two in eleven of the fourteen direct answers. HAProxy vs AWS Elastic Load Balancing · HAProxy vs A10 Thunder ADC · NGINX 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 modelsA10 Thunder ADC
Direct001 against AWS Elastic Load Balancing
Paraphrase02
Comparative10
Budget-constrained101 against AWS Elastic Load Balancing
Scale-constrained10
Negative001 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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where AWS Elastic Load Balancing and A10 Thunder ADC stood in it.
| Model | DirectAE | ParaphraseAE | ComparativeAE | Budget-constrainedAE | Scale-constrainedAE | NegativeAE |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | AE | AE | ||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | AE | AE | |||
| Perplexity Sonar | AE | AE | AE | |||
| Grok 4.20 | | AE | AE | AE | AE | |
| Mistral Small | | AE | AE | |||
| DeepSeek V4 Flash | AE | | AE | AE | AE | AE |
| Llama 4 Maverick | AE | |||||
| Qwen 3.7 Flash | AE | AE | ||||
| Kimi K2 | AE | |||||
| GLM 4.7 FlashX | AE | |||||
| MiniMax M2.5 | | AE | AE | |||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | AE | AE |
AE AWS Elastic Load Balancing A10 Thunder ADCAE first choiceAE named as an alternativeAE argued againstblank: not namedEach cell is one answer, AWS Elastic Load Balancing on the left and A10 Thunder ADC on the right.
A10 Thunder ADCAE first choiceAE named as an alternativeAE argued againstblank: not namedEach cell is one answer, AWS Elastic Load Balancing on the left and A10 Thunder ADC on the right.The direct prompt
The plain question, one answer per model, grouped by where AWS Elastic Load Balancing and A10 Thunder ADC stood in it.
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarProgress Kemp LoadMaster alternatives: AWS Elastic Load Balancing, Cloudflare Load Balancing, HAProxy, NGINX
Muse Glimmer 30BHAProxy alternatives: AWS Elastic Load Balancing, Azure Load Balancer, NGINX, Progress Kemp LoadMaster
Neither was named
12 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5AWS Application Load Balancer, Azure Load Balancer, Network Load Balancer alternatives: Google Cloud Load Balancing, NGINX
GPT-5.4 miniAWS Application Load Balancer alternatives: AWS Network Load Balancer, Cloudflare Load Balancing, Google Cloud Application Load Balancer
Gemini 3.5 FlashCloudflare Load Balancing alternatives: AWS Application Load Balancer, Azure Application Gateway, GCP Cloud Load Balancing, HAProxy, NGINX, Progress Kemp LoadMaster
Grok 4.20HAProxy alternatives: AWS Elastic Load Balancing (ELB) – ALB/NLB, Cloudflare Load Balancing, Loadbalancer.org Enterprise ADC, NGINX, Progress Kemp LoadMaster
Mistral SmallNGINX alternatives: Citrix ADC, F5 BIG-IP, HAProxy, Kemp LoadMaster, Loadbalancer.org Enterprise ADC
DeepSeek V4 FlashHAProxy, Progress Kemp LoadMaster alternatives: NGINX
Llama 4 MaverickNGINX alternatives: Citrix ADC, F5 BIG-IP, HAProxy, Kemp LoadMaster
Qwen 3.7 FlashNGINX alternatives: Application Load Balancer, HAProxy
Kimi K2Kemp LoadMaster alternatives: HAProxy
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
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 fourteen points.
AWS Elastic Load Balancing14%#2 of 14
A10 Thunder ADC0%#– of 14Mid-marketThe figures above
Level: the same share of first choices.
AWS Elastic Load Balancing4%#5 of 16
A10 Thunder ADC4%#6 of 16Enterprise
AWS Elastic Load Balancing leads by five points.
AWS Elastic Load Balancing5%#5 of 16
A10 Thunder ADC0%#14 of 16What 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
What the models said about A10 Thunder ADC
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“F5 BIG-IP LTM or A10 Thunder ADC are top choices if you need enterprise-grade features and scalability.” Mistral Small · paraphrase prompt · first choice
“Top Recommendation: A10 Networks Thunder ADC” Qwen 3.7 Flash · paraphrase prompt · first choice
“Strong performance, but generally more complex and positioned slightly upmarket” DeepSeek V4 Flash · paraphrase prompt · alternative
Also compared
HAProxy vs AWS Elastic Load BalancingHAProxy vs A10 Thunder ADCNGINX vs AWS Elastic Load BalancingNGINX vs A10 Thunder ADCKemp LoadMaster vs AWS Elastic Load BalancingKemp LoadMaster vs A10 Thunder ADCProgress Kemp LoadMaster vs AWS Elastic Load BalancingProgress Kemp LoadMaster vs A10 Thunder ADCAWS Elastic Load Balancing vs AWS Application Load BalancerAWS Elastic Load Balancing vs Cloudflare Load BalancingA10 Thunder ADC vs AWS Application Load BalancerA10 Thunder ADC vs Cloudflare Load BalancingAll twenty-eight head-to-head pages and the full load balancers standing
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.