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Index › Products › Kubecost · October 2026 Edition
2 categories · Ranked

Kubecost

75Judge labels
1First choices
4Negative labels
14 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
2% in FinOps for mid-market buyers
Rank 8 of 76 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 3% of its 31 labels there were negative.
What the models named instead of Kubecost →
By buyer segmentRead the same way at every buyer size.
In finops · 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 Kubecost 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Cloud cost managementCloud and infrastructure2%8 of 763%31accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
IT financial managementIT operations and endpoint0%60 of 1590%3under 10 labels · led by Nicus ITFM Platform at 9%

Movement

Since September 2026, Kubecost held within the floor in all two categories: no change cleared 11 points.

Best category · FinOps · by segment

Small business▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 8 → 23 of 78
Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 12 → 7 of 70
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 12 → 10 of 71

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
FinOps0%2%▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 12 → 8 of 76
IT financial mgmt0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 60 of 159, unchanged

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Kubecost across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini02002
Gemini 3.5 Flash03003
Perplexity Sonar02002
Grok 4.2001001
Mistral Small11204
DeepSeek V4 Flash01203
Llama 4 Maverick00000
Qwen 3.7 Flash11013
Kimi K204105
GLM 4.7 FlashX02002
MiniMax M2.501304
GPT-6 Luna01001
Muse Glimmer 30B01203

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
Direct9 labelsNone
Paraphrase6 labelsNone
Comparative22 labels1not counted in share
Budget-constrained15 labels1
Scale-constrained12 labelsNone
Negative11 labelsNone
First choiceAlternativeMentionNegative75 labels in all, every segment counted; 1 of the 2 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.

“Kubecost (if using Kubernetes), nOps (for broader cloud cost management), and Pump (for AWS users) are among the best free or low-cost options” Mistral Small · FinOps · budget prompt · first choice
“If you use Kubernetes extensively: Kubecost is the industry standard.” Qwen 3.7 Flash · FinOps · comparative prompt · first choice
“Best for Kubernetes-Heavy Estates: *Kubecost*. The gold standard if your cloud spend is overwhelmingly centered around EKS, AKS, or GKE.” Gemini 3.5 Flash · FinOps · scale prompt · alternative
“Free tier: Unlimited clusters up to 250 cores, 15-day data retention; Paid: Business starts at $449/month” Kimi K2 · FinOps · budget 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.

“Kubecost (acquired by IBM)... Use cautiously if you value an independent vendor” Qwen 3.7 Flash · FinOps · negative prompt · soft negative

Named alongside

The products named in the same answers as Kubecost, over the 75 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Kubecost was named but was not.
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ProductSame answerTook the first choice insteadHead to head
IBM Apptio Cloudability48 of 756Not among the top eight
VMware Tanzu CloudHealth38 of 754Not among the top eight
Flexera One36 of 753Not among the top eight
Google Cloud Billing21 of 751Not among the top eight
CAST AI21 of 750Not 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 Kubecost. 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 63 of the 75 answers that named Kubecost and are not a share of its labels.

Search and answers

Where Kubecost 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
1,000 a month (“kubecost”)
AI search demand for its name, est.
25 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
2%
rank 8 of 76 in finops
Segment leader
45%
Vantage
First choices
1 across its categories
Named in
75 answers
Its own site cited
No site on file to match

Search figures are US estimates from DataForSEO, read September 28, 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.

Names read as Kubecost

What the judge wrote, as written, with how often. The vendor table decides that these count as Kubecost; a claim can dispute any of them.
KubeCost 2Kubecost (Community Edition) 1

Follow Kubecost

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.

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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 Kubecost'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 Kubecost, 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 Kubecost by email, built from the raw record of the edition. It shows:

  • where Kubecost 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 Kubecost, 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.
The subscriber app

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.