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Index › Products › OpenFeature · October 2026 Edition
1 category · Named, not ranked

OpenFeature

11Judge labels
0First choices
2Negative labels
6 / 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
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. OpenFeature was named 3 times in Feature flags, where Flagsmith led with 25%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In feature flags · 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 OpenFeature 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
Feature flagsDeveloper platform0%13 of 350%3under 10 labels · led by Flagsmith at 25%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, OpenFeature held within the floor in its one category: no change cleared 11 points.

Best category · Feature flags · by segment

Small business=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 18 → 11 of 30
Mid-market=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 18 → 16 of 33
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 16 → 28 of 32

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Feature flags0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 18 → 13 of 35

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 OpenFeature 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 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B01001

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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained3 labelsNone
Negative7 labelsNone
First choiceAlternativeMentionNegative11 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.

“prioritize platforms that support OpenFeature (a CNCF-standardized, vendor-agnostic API for feature flagging)” Gemini 3.5 Flash · Feature flags · negative prompt · alternative
“the current consensus recommends an OpenFeature vendor-agnostic standard rather than a single product” Muse Glimmer 30B · Feature flags · negative 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.

No model argued against it.

Named alongside

The products named in the same answers as OpenFeature, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenFeature was named but was not.
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ProductSame answerTook the first choice insteadHead to head
LaunchDarkly9 of 111Not among the top eight
Flagsmith7 of 111Not among the top eight
Unleash6 of 110Not among the top eight
ConfigCat4 of 110Not among the top eight
Split4 of 110Not among the top eight
GrowthBook3 of 110Not among the top eight
PostHog Feature Flags3 of 110Not among the top eight
Statsig3 of 110Not among the top eight
Amplitude2 of 110Not among the top eight
Flipt2 of 110Not 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 OpenFeature. 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 11 answers that named OpenFeature and are not a share of its labels.

Domains cited

growthbook.io6
harness.io6
flagsmith.com5
guideflow.com4
launchdarkly.com4
openfeature.devYour site4
amplitude.com3
configcat.com3
statsig.com3
docs.getunleash.io2

Thirty-six of the forty domain citations in answers naming OpenFeature came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

openfeature.dev ranks 2 on Google for the category's searches. In the answers, OpenFeature takes 0% of first choices and Flagsmith takes 25%.
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In search

Google, US estimates
Position for “feature flag platform”
2
Position for “feature flag platforms”
5
Searches for its name, Google
590 a month (“openfeature”)
AI search demand for its name, est.
1 a month
Organic visits to its site
about 1,167 a month
Searches its site ranks for
613 · 31 in the top three
Sites linking to it
701
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US

In answers

This edition
Share of first choices
0%
rank 13 of 35 in feature flags
Segment leader
25%
Flagsmith
First choices
0 across its categories
Named in
11 answers
Its own site cited
in 10 of the answers that named it

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.

What it publishes

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Addresses on openfeature.dev
218
subdomains included
Content
45
counted in the table below
Documentation
45
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog4212026-08-12Feature flags
Conference or event102025-11-07
Report or ebook102025-06-13Feature flags
Glossary or explainer1undated

Most recent

How it is countedHide how it is counted

Every page openfeature.dev exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Follow OpenFeature

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.

The company

OpenFeature is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
Standardizing Feature Flagging for Everyone
Not stated on the pages read
Who it is for, price, starting price, free plan or trial, integrations, certifications, hosting, customers

What OpenFeature's own pages state, read October 5, 2026: openfeature.dev, openfeature.dev/community/SECURITY. A claimed page can correct any of them.

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

  • where OpenFeature 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 OpenFeature, 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 openfeature.dev 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.