Feature flags · November 2026 Edition
LaunchDarkly vs Statsig
Four of fourteen models named LaunchDarkly first on the direct prompt; three named Statsig. Both were named by all fourteen models and LaunchDarkly carries 69 labels and Statsig 46, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
First-choice share24%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate39%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 8; printed, not drawn.
Labels6946A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, LaunchDarkly reading right to left. Rank and label count are printed, not drawn.Flagsmith was named alongside these two in twelve of the fourteen direct answers. LaunchDarkly vs Flagsmith · LaunchDarkly vs ConfigCat · LaunchDarkly vs GrowthBook
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.
LaunchDarklyFirst choices, of fourteen modelsStatsig
Direct437 against LaunchDarkly
Paraphrase613 against LaunchDarkly
Comparative110
Budget-constrained105 against LaunchDarkly
Scale-constrained101 against LaunchDarkly
Negative0011 against LaunchDarkly · 3 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 November 2026 Edition, LaunchDarkly and Statsig were named in the same answer 118 times, of the 205 answers naming LaunchDarkly and the 133 naming Statsig. In those answers Statsig took the first choice seven times and LaunchDarkly fifty-three.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where LaunchDarkly and Statsig stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | | | |
LaunchDarkly Statsig first choice named as an alternative argued againstblank: not namedEach cell is one answer, LaunchDarkly on the left and Statsig on the right.The direct prompt
The plain question, one answer per model, grouped by where LaunchDarkly and Statsig stood in it.
LaunchDarkly first, Statsig an alternative
4 of 14 modelsStatsig was named in the answer but not as the choice, or not at all.GPT-5.4 miniLaunchDarkly alternatives: Flagsmith, GrowthBook, Unleash
Perplexity SonarLaunchDarkly alternatives: ConfigCat, GrowthBook, Harness FME, Statsig, Unleash
Grok 4.20LaunchDarkly alternatives: Flagsmith, GrowthBook, Harness FME, Statsig, Unleash
MiniMax M2.5Flagsmith, LaunchDarkly alternatives: GrowthBook, Split, Unleash
Statsig first, LaunchDarkly an alternative
3 of 14 modelsLaunchDarkly was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashStatsig alternatives: Flagsmith, PostHog Feature Flags, Schematic, Unleash
Kimi K2Flagsmith, Statsig alternatives: GrowthBook
GPT-6 LunaStatsig alternatives: Flagsmith, LaunchDarkly
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.Claude Haiku 4.5Flagsmith alternatives: Reflag, Statsig
DeepSeek V4 FlashGrowthBook alternatives: Flagsmith, LaunchDarkly, Unleash
Muse Glimmer 30BReflag alternatives: Flagsmith, Statsig, WorkOS Feature Flags
Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.Mistral SmallFlagsmith, Unleash alternatives: ConfigCat, Split
Llama 4 Maverickno first choice
Qwen 3.7 FlashConfigCat, GrowthBook alternatives: Flagsmith, Unleash
GLM 4.7 FlashXFlagsmith, GrowthBook alternatives: Split, 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
Statsig leads by four points.
Statsig5%#4 of 8LaunchDarkly2%#6 of 8Mid-marketThe figures above
The order flips: LaunchDarkly leads at mid-market.
LaunchDarkly24%#1 of 8Statsig8%#6 of 8Enterprise
LaunchDarkly leads by fifty-six points.
LaunchDarkly56%#1 of 10Statsig0%#6 of 10What the models said about LaunchDarkly
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid paid-heavy tools like LaunchDarkly, Split.io, or DevCycle” Grok 4.20 · budget prompt · hard negative
“avoid it if you have a strict budget long-term” Gemini 3.5 Flash · budget prompt · hard negative
“LaunchDarkly is mature, but usage-based pricing can become complex; model evaluations, seats, environments, and experimentation costs before committing.” Perplexity Sonar · negative prompt · soft negative
“One of the most established leaders in the feature management space, ideal for large engineering organisations and enterprise teams” Claude Haiku 4.5 · comparative prompt · first choice
“Best Overall (Gold Standard) | LaunchDarkly | Industry standard, unmatched governance/RBAC, deep integrations.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Choose LaunchDarkly when governance, compliance, approvals, SDK breadth, and safe enterprise releases matter most.” Perplexity Sonar · comparative 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 seven in this category shown.
“be cautious if you only need basic toggles, or if your traffic generates lots of billable events” GPT-6 Luna · negative prompt · soft negative
“Statsig for example received feedback that debugging variant assignments gets complicated” Qwen 3.7 Flash · negative prompt · soft negative
“sometimes called out for being "immature" in governance or having hidden scaling costs” Grok 4.20 · negative prompt · soft negative
“Go with Statsig if you want the best balance of price, advanced feature flagging, and integrated metrics” Gemini 3.5 Flash · paraphrase prompt · first choice
“For most mid-market B2B companies, Statsig or Flagsmith hit the sweet spot” Kimi K2 · direct prompt · first choice
“For a typical mid-market B2B SaaS company, I'd start with Statsig.” GPT-6 Luna · direct prompt · first choice
Also compared
LaunchDarkly vs FlagsmithLaunchDarkly vs ConfigCatLaunchDarkly vs GrowthBookLaunchDarkly vs UnleashLaunchDarkly vs PostHog Feature FlagsLaunchDarkly vs SplitFlagsmith vs StatsigConfigCat vs StatsigGrowthBook vs StatsigUnleash vs StatsigStatsig vs PostHog Feature FlagsStatsig vs SplitAll twenty-eight head-to-head pages and the full feature flags standing
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.