One of fourteen models named Unleash first on the direct prompt; three named Statsig. Both were named by all fourteen models and Unleash carries 66 labels and Statsig 46, 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 November 2026 Edition, Unleash and Statsig were named in the same answer 116 times, of the 192 answers naming Unleash and the 133 naming Statsig. In those answers Statsig took the first choice five times and Unleash four.
| 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 |
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 eight in this category shown.
“Caution: While Unleash is a popular open-source option, it uses local SDK caching for low-latency flag checks... Unleash may not be the best fit.” Mistral Small · negative prompt · soft negative
“Any self-hosted option—including Unleash, Flagsmith, or GrowthBook: be cautious if nobody on your team can own upgrades” GPT-6 Luna · negative prompt · soft negative
“Platforms like older versions of Unleash (self-hosted) require significant DevOps overhead.” Qwen 3.7 Flash · negative prompt · soft negative
“Start with LaunchDarkly for enterprise needs or Unleash/Flagsmith for flexibility/open-source.” Grok 4.20 · comparative prompt · first choice
“Start with Flagsmith or Unleash if you have engineering resources for self-hosting” Claude Haiku 4.5 · budget prompt · first choice
“Flagsmith and Unleash are the best choices” Mistral Small · direct prompt · first choice
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
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.