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Index › IT › Developer platform › Feature flags › Statsig vs Split
Feature flags · November 2026 Edition

Statsig vs Split

Three of fourteen models named Statsig first on the direct prompt; zero named Split. Statsig was named by fourteen of the fourteen models and Split by twelve and Statsig carries 46 labels and Split 26, so the shares are not directly comparable.

Statsig

accepted challenger

Named in one category this edition.

Split

accepted challenger

Named in one category this edition.

First-choice share8%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 8; printed, not drawn.
Labels4626A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Statsig 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 Statsig · LaunchDarkly vs Split · 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.
StatsigFirst choices, of fourteen modelsSplit
Direct30
Paraphrase10
Comparative00
Budget-constrained001 against Split
Scale-constrained01
Negative003 against Statsig · 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, Statsig and Split were named in the same answer forty-seven times, of the 133 answers naming Statsig and the 80 naming Split. In those answers Split took the first choice one time and Statsig one.

Every model, every framing

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

The direct prompt

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

Statsig first, Split not the choice

3 of 14 modelsSplit 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

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Flagsmith alternatives: Reflag, Statsig
Perplexity SonarLaunchDarkly alternatives: ConfigCat, GrowthBook, Harness FME, Statsig, Unleash
Grok 4.20LaunchDarkly alternatives: Flagsmith, GrowthBook, Harness FME, Statsig, Unleash
Mistral SmallFlagsmith, Unleash alternatives: ConfigCat, Split
GLM 4.7 FlashXFlagsmith, GrowthBook alternatives: Split, Unleash
MiniMax M2.5Flagsmith, LaunchDarkly alternatives: GrowthBook, Split, 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.
GPT-5.4 miniLaunchDarkly alternatives: Flagsmith, GrowthBook, Unleash
DeepSeek V4 FlashGrowthBook alternatives: Flagsmith, LaunchDarkly, Unleash
Llama 4 Maverickno first choice
Qwen 3.7 FlashConfigCat, GrowthBook alternatives: Flagsmith, 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 five points.
Statsig5%#4 of 8
Split0%#8 of 8
The full small business standing →
Mid-marketThe figures above
Statsig leads by six points.
Statsig8%#6 of 8
Split2%#8 of 8
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Statsig0%#6 of 10
Split0%#8 of 10
The full enterprise standing →

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

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
LaunchDarkly vs StatsigLaunchDarkly vs SplitFlagsmith vs StatsigFlagsmith vs SplitConfigCat vs StatsigConfigCat vs SplitGrowthBook vs StatsigGrowthBook vs SplitUnleash vs StatsigUnleash vs SplitStatsig vs PostHog Feature FlagsPostHog Feature Flags 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.