One of fourteen models named Unleash first on the direct prompt; zero named Split. Unleash was named by fourteen of the fourteen models and Split by twelve and Unleash carries 66 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.
Across every category in the November 2026 Edition, Unleash and Split were named in the same answer seventy times, of the 192 answers naming Unleash and the 80 naming Split. In those answers Split took the first choice one time and Unleash six.
| 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 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.