Index › Products › A10 · October 2026 Edition

1 category · Named, not ranked

A10

12Judge labels

0First choices

6Negative labels

7 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

5 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. A10 was named 5 times in Load balancers, where HAProxy led with 29%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business99 of 104

under the label threshold

Mid-market70 of 94

under the label threshold

Enterprise29 of 99

under the label threshold

In load balancers · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named A10 for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Load balancers	Network and edge	0%	70 of 94	40%	5	under 10 labels · led by HAProxy at 29%

Movement

This is the first edition on this tier, so no move can be computed for A10 yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated A10 across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	1	1
Gemini 3.5 Flash	0	0	0	0
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	0	1	0	1
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	1	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	1	0	1
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	1	0	0	1
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase3 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained3 labelsNone

Negative6 labelsNone

First choiceAlternativeMentionNegative12 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“cloud-agnostic options like Kemp or A10” MiniMax M2.5 · Load balancers · scale prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Consider A10 only if your needs are more narrowly centered on ADC/appliance use cases” GPT-5.4 mini · Load balancers · paraphrase prompt · soft negative

“Avoid purchasing enterprise-grade ADCs (like F5, A10, or Radware)” DeepSeek V4 Flash · Load balancers · negative prompt · soft negative

Named alongside

The products named in the same answers as A10, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and A10 was named but was not.

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ProductSame answerTook the first choice insteadHead to head

HAProxy9 of 121Not among the top eight

NGINX9 of 121Not among the top eight

Citrix ADC8 of 120Not among the top eight

F5 BIG-IP6 of 121Not among the top eight

Azure Load Balancer6 of 120Not among the top eight

AWS Elastic Load Balancing4 of 120Not among the top eight

Kemp LoadMaster4 of 120Not among the top eight

Azure Basic Load Balancer3 of 120Not among the top eight

Cloudflare Load Balancing3 of 120Not among the top eight

Envoy3 of 120Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named A10. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 10 of the 12 answers that named A10 and are not a share of its labels.

Domains cited

g2.com6

learn.microsoft.com6

linkedin.com6

loadbalancer.org6

f5.com5

devopsschool.com3

docs.aws.amazon.com3

guideflow.com3

kemptechnologies.com3

us.fitgap.com3

No domain is on file for A10, so its own site is not marked.

Pages cited

loadbalancer.org/blog/whats-the-best-cloud-load-balancer5

loadbalancer.org/blog/which-load-balancer-compare-f5-citrix-a10-radware-nginx-haproxy-avin4

devopsschool.com/blog/top-10-load-balancers-features-pros-cons-comparison3

g2.com/categories/load-balancing3

guideflow.com/blog/load-balancer-software3

linkedin.com/pulse/6-common-load-balancer-integration-mistakes-how-avoid-hannah-parker-lsp3

f5.com/pdf/report/2024-delloro-market-share-leader-award-overall-application-security-and-2

f5.com/products/compare/a10-networks2

Pages are listed as the models cited them.

Search and answers

Where A10 stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 60,500 a month (“a10”)
AI search demand for its name, est.: 5,614 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 70 of 94 in load balancers

Segment leader

29%

HAProxy

First choices: 0 across its categories
Named in: 12 answers
Its own site cited: No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow A10

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when A10's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as A10, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for A10 by email, built from the raw record of the edition. It shows:

where A10 is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name A10, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.