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Feature flags · October 2026 Edition

Flagsmith vs ConfigCat

Five of fourteen models named Flagsmith first on the direct prompt; four named ConfigCat. Flagsmith was named by fourteen of the fourteen models and ConfigCat by twelve and Flagsmith carries 57 labels and ConfigCat 39, so the shares are not directly comparable.

Flagsmith

accepted challenger

Named in one category this edition.

ConfigCat

accepted challenger

Named in one category this edition.

First-choice share25%16%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 8; printed, not drawn.
Labels5739A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Flagsmith reading right to left. Rank and label count are printed, not drawn.LaunchDarkly was named alongside these two in eight of the fourteen direct answers. Flagsmith vs LaunchDarkly · Flagsmith vs Unleash · Flagsmith vs Statsig

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 feature flags page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FlagsmithFirst choices, of fourteen modelsConfigCat
Direct54
Paraphrase51
Comparative00
Budget-constrained441 against Flagsmith
Scale-constrained00
Negative102 against Flagsmith · 3 against ConfigCat
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 October 2026 Edition, Flagsmith and ConfigCat were named in the same answer 100 times, of the 175 answers naming Flagsmith and the 116 naming ConfigCat. In those answers ConfigCat took the first choice thirty-four times and Flagsmith eighteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Flagsmith and ConfigCat stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Flagsmith ConfigCat first choice named as an alternative argued againstblank: not namedEach cell is one answer, Flagsmith on the left and ConfigCat on the right.

The direct prompt

The plain question, one answer per model, grouped by where Flagsmith and ConfigCat stood in it.

Flagsmith first, ConfigCat an alternative

5 of 14 modelsConfigCat was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Flagsmith alternatives: ConfigCat, LaunchDarkly, Statsig
Gemini 3.5 FlashFlagsmith alternatives: ConfigCat, GrowthBook, PostHog Feature Flags
Mistral SmallFlagsmith alternatives: Flagship.io, GrowthBook
Llama 4 MaverickFlagsmith alternatives: Guideflow, LaunchDarkly, Unleash
Qwen 3.7 FlashFlagsmith, Unleash alternatives: GrowthBook, LaunchDarkly

ConfigCat first, Flagsmith an alternative

4 of 14 modelsFlagsmith was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashConfigCat alternatives: Flagsmith, LaunchDarkly
Kimi K2ConfigCat alternatives: Flagsmith, Split
GLM 4.7 FlashXConfigCat alternatives: Flagsmith, Statsig
Muse Glimmer 30BConfigCat, Unleash alternatives: Split, Statsig

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarLaunchDarkly alternatives: ConfigCat, Flagsmith, GrowthBook, PostHog Feature Flags
Grok 4.20Statsig alternatives: Flagsmith, GrowthBook
MiniMax M2.5LaunchDarkly, Statsig alternatives: ConfigCat, GrowthBook, Unleash

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniLaunchDarkly, Statsig alternatives: Unleash
GPT-6 LunaLaunchDarkly alternatives: Statsig, Unleash

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
Level: the same share of first choices.
Flagsmith32%#1 of 8
ConfigCat32%#2 of 8
The full small business standing →
Mid-marketThe figures above
Flagsmith leads by nine points.
Flagsmith25%#1 of 8
ConfigCat16%#3 of 8
The full mid-market standing →
Enterprise
The order flips: ConfigCat leads at enterprise.
ConfigCat12%#3 of 9
Flagsmith0%#5 of 9
The full enterprise standing →

What the models said about Flagsmith

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

“The free cloud tier is narrow for team collaboration. Documentation notes a default security posture to consider” Muse Glimmer 30B · negative prompt · soft negative
“Open-source tools like Unleash and Flagsmith can introduce complexities during setup and ongoing maintenance” Claude Haiku 4.5 · negative prompt · soft negative
“Free cloud tier available (though limits are tight for teams)” DeepSeek V4 Flash · budget prompt · soft negative
“Flagsmith is a good fit for mid-market engineering teams that want feature flags and remote configuration in a single tool” Claude Haiku 4.5 · direct prompt · first choice
“The Best All-Around Value: Flagsmith ... widely considered the best "low friction" option for startups and small teams” Qwen 3.7 Flash · budget prompt · first choice
“If you want a simple, cost-effective, and flexible feature flag platform, Flagsmith is a top choice.” Mistral Small · direct prompt · first choice

What the models said about ConfigCat

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

“It is noted as not a broad experimentation platform. Teams wanting measurement not only toggles tend to look elsewhere.” Muse Glimmer 30B · negative prompt · soft negative
“ConfigCat's hosted model may still be a risk for some regulated industries that require on-premises deployment” GPT-5.4 mini · negative prompt · soft negative
“ConfigCat has no built-in analytics” Claude Haiku 4.5 · negative prompt · soft negative
“I'd usually recommend ConfigCat if your main goal is reliable feature flags with lower complexity and predictable cost” GPT-5.4 mini · paraphrase prompt · first choice
“ConfigCat ⭐ Best for Mid-Market ... Start with ConfigCat if you want simple feature flags with predictable costs” Kimi K2 · direct prompt · first choice
“If I had to choose one for a budget-conscious company that still wants a polished product, I'd choose ConfigCat.” GPT-5.4 mini · 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.