Four of fourteen models named ConfigCat first on the direct prompt; zero named PostHog Feature Flags. ConfigCat was named by twelve of the fourteen models and PostHog Feature Flags by eleven and ConfigCat carries 39 labels and PostHog Feature Flags 27, 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.
Across every category in the October 2026 Edition, ConfigCat and PostHog Feature Flags were named in the same answer fifty-six times, of the 116 answers naming ConfigCat and the 80 naming PostHog Feature Flags. In those answers PostHog Feature Flags took the first choice six times and ConfigCat twenty-three.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 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 |
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.
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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“PostHog experienced four separate incidents in 10 days (Oct 2025), totaling 14+ hours of cumulative impact on flag evaluations” Kimi K2 · negative prompt · soft negative
“the feature flagging capabilities in these platforms are often "second-class citizens" compared to dedicated tools” Gemini 3.5 Flash · negative prompt · soft negative
“Best for Tool Consolidation & Generous Free Tier: PostHog... incredibly generous free tier of 1 million feature flag requests per month” Gemini 3.5 Flash · budget prompt · first choice
“Start with PostHog if you want to track data alongside your flags.” GLM 4.7 FlashX · budget prompt · first choice
“Best default for a budget-conscious company: PostHog.” GPT-6 Luna · budget prompt · first choice
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.