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Feature flags · October 2026 Edition

ConfigCat vs Statsig

Four of fourteen models named ConfigCat first on the direct prompt; three named Statsig. ConfigCat was named by twelve of the fourteen models and Statsig by fourteen and ConfigCat carries 39 labels and Statsig 47, so the shares are not directly comparable.

ConfigCat

accepted challenger

Named in one category this edition.

Statsig

accepted challenger

Named in one category this edition.

First-choice share16%11%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 8; printed, not drawn.
Labels3947A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ConfigCat reading right to left. Rank and label count are printed, not drawn.Flagsmith was named alongside these two in ten of the fourteen direct answers. Flagsmith vs ConfigCat · Flagsmith vs Statsig · LaunchDarkly vs ConfigCat

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.
ConfigCatFirst choices, of fourteen modelsStatsig
Direct431 against Statsig
Paraphrase10
Comparative02
Budget-constrained43
Scale-constrained001 against Statsig
Negative003 against ConfigCat · 2 against Statsig
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, ConfigCat and Statsig were named in the same answer seventy-one times, of the 116 answers naming ConfigCat and the 131 naming Statsig. In those answers Statsig took the first choice eight times and ConfigCat twenty-eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where ConfigCat and Statsig stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
ConfigCat Statsig first choice named as an alternative argued againstblank: not namedEach cell is one answer, ConfigCat on the left and Statsig on the right.

The direct prompt

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

ConfigCat first, Statsig an alternative

4 of 14 modelsStatsig 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

Statsig first, ConfigCat an alternative

3 of 14 modelsConfigCat was named in the answer but not as the choice, or not at all.
GPT-5.4 miniLaunchDarkly, Statsig alternatives: Unleash
Grok 4.1 FastStatsig alternatives: Flagsmith, GrowthBook
MiniMax M2.5LaunchDarkly, Statsig alternatives: ConfigCat, GrowthBook, Unleash

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Flagsmith alternatives: ConfigCat, LaunchDarkly, Statsig
Gemini 3.5 FlashFlagsmith alternatives: ConfigCat, GrowthBook, PostHog Feature Flags
Perplexity SonarLaunchDarkly alternatives: ConfigCat, Flagsmith, GrowthBook, PostHog Feature Flags
GPT-6 LunaLaunchDarkly alternatives: Statsig, Unleash

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Mistral SmallFlagsmith alternatives: Flagship.io, GrowthBook
Llama 4 MaverickFlagsmith alternatives: Guideflow, LaunchDarkly, Unleash
Qwen 3.7 FlashFlagsmith, Unleash alternatives: GrowthBook, LaunchDarkly

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
ConfigCat leads by twenty-six points.
ConfigCat32%#2 of 8
Statsig5%#5 of 8
The full small business standing →
Mid-marketThe figures above
ConfigCat leads by five points.
ConfigCat16%#3 of 8
Statsig11%#5 of 8
The full mid-market standing →
Enterprise
ConfigCat leads by eight points.
ConfigCat12%#3 of 9
Statsig4%#4 of 9
The full enterprise standing →

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

What the models said about Statsig

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

“if you want a pure-play infrastructure flag tool, look elsewhere, as Statsig has pivoted heavily into Amplitude's analytics-first roadmap” Gemini 3.5 Flash · direct prompt · soft negative
“Statsig is still growing in enterprise governance, with RBAC and audit features that aren't as strong” Claude Haiku 4.5 · negative prompt · soft negative
“Free flags at any scale, but analytics-based pricing can add up” DeepSeek V4 Flash · scale prompt · soft negative
“If you want zero cost + zero maintenance: Go with Statsig. It's the only platform offering truly unlimited feature flags on a free tier” Kimi K2 · budget prompt · first choice
“Widely considered the best all-rounder for startups and mid-size teams in recent years” DeepSeek V4 Flash · comparative prompt · first choice
“LaunchDarkly (if budget allows) or Statsig (if experimentation is a priority)” MiniMax M2.5 · direct 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.