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Feature flags · November 2026 Edition

LaunchDarkly vs Split

Four of fourteen models named LaunchDarkly first on the direct prompt; zero named Split. LaunchDarkly was named by fourteen of the fourteen models and Split by twelve and LaunchDarkly carries 69 labels and Split 26, so the shares are not directly comparable.

LaunchDarkly

criticized challenger

Named in two categories this edition.

Split

accepted challenger

Named in one category this edition.

First-choice share24%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate39%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#8A position in a field of 8; printed, not drawn.
Labels6926A 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 modelsSplit
Direct407 against LaunchDarkly
Paraphrase603 against LaunchDarkly
Comparative110
Budget-constrained105 against LaunchDarkly · 1 against Split
Scale-constrained111 against LaunchDarkly
Negative0011 against LaunchDarkly · 5 against Split
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 Split were named in the same answer seventy-nine times, of the 205 answers naming LaunchDarkly and the 80 naming Split. In those answers Split took the first choice zero times and LaunchDarkly twenty-five.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where LaunchDarkly and Split 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
LaunchDarkly Split first choice named as an alternative argued againstblank: not namedEach cell is one answer, LaunchDarkly on the left and Split on the right.

The direct prompt

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

LaunchDarkly first, Split an alternative

4 of 14 modelsSplit 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

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.
Mistral SmallFlagsmith, Unleash alternatives: ConfigCat, Split
DeepSeek V4 FlashGrowthBook alternatives: Flagsmith, LaunchDarkly, Unleash
GLM 4.7 FlashXFlagsmith, GrowthBook alternatives: Split, Unleash
GPT-6 LunaStatsig alternatives: Flagsmith, LaunchDarkly

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Flagsmith alternatives: Reflag, Statsig
Gemini 3.5 FlashStatsig alternatives: Flagsmith, PostHog Feature Flags, Schematic, Unleash
Llama 4 Maverickno first choice
Qwen 3.7 FlashConfigCat, GrowthBook alternatives: Flagsmith, Unleash
Kimi K2Flagsmith, Statsig alternatives: GrowthBook
Muse Glimmer 30BReflag alternatives: Flagsmith, Statsig, WorkOS Feature Flags

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
LaunchDarkly leads by two points.
LaunchDarkly2%#6 of 8
Split0%#8 of 8
The full small business standing →
Mid-marketThe figures above
LaunchDarkly leads by twenty-two points.
LaunchDarkly24%#1 of 8
Split2%#8 of 8
The full mid-market standing →
Enterprise
LaunchDarkly leads by fifty-six points.
LaunchDarkly56%#1 of 10
Split0%#8 of 10
The full enterprise standing →

What 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 Split

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
“Be cautious about opaque, quote-based pricing, significant switching costs, and coupling of feature flagging to a broader Harness toolchain if you want portability.” Muse Glimmer 30B · negative prompt · soft negative
“more expensive than alternatives for comparable functionality, lacks automatic analytics built into every flag check” Qwen 3.7 Flash · negative prompt · soft negative
“High-End/Enterprise: LaunchDarkly, Split.io, Optimizely.” MiniMax M2.5 · scale prompt · first choice
“Choose Split/Harness if experimentation is the core use case and you're comfortable with a more enterprise-oriented tool” GPT-5.4 mini · paraphrase prompt · alternative
“Choose Statsig, GrowthBook, or Split/Harness when measuring product impact and running experiments is central.” Perplexity Sonar · comparative prompt · alternative
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.