PostHog Feature Flags vs Split
Zero of fourteen models named PostHog Feature Flags first on the direct prompt; zero named Split. PostHog Feature Flags was named by thirteen of the fourteen models and Split by twelve and PostHog Feature Flags carries 35 labels and Split 26, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
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
PostHog Feature FlagsFirst choices, of fourteen modelsSplit
Across every category in the November 2026 Edition, PostHog Feature Flags and Split were named in the same answer thirty times, of the 106 answers naming PostHog Feature Flags and the 80 naming Split. In those answers Split took the first choice zero times and PostHog Feature Flags three.
Every model, every framing
| 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 | | | |
PostHog Feature Flags Split first choice named as an alternative argued againstblank: not namedEach cell is one answer, PostHog Feature Flags on the left and Split on the right.The direct prompt
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.Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.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
PostHog Feature Flags16%#3 of 8Split0%#8 of 8PostHog Feature Flags4%#7 of 8Split2%#8 of 8PostHog Feature Flags0%#10 of 10Split0%#8 of 10What the models said about PostHog Feature Flags
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“they're not purely flag-focused—overkill or bloat if that's all you need” Grok 4.20 · negative prompt · soft negative
“For most early-stage companies with a tight budget, PostHog offers the best bang for buck” Qwen 3.7 Flash · budget prompt · first choice
“Choose PostHog or ConfigCat on their managed free tiers.” Gemini 3.5 Flash · budget prompt · first choice
“Choose PostHog when feature flags should live alongside product analytics and session-level product insights.” Perplexity Sonar · comparative prompt · alternative
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
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.