GrowthBook vs AB Tasty
Zero of fourteen models named GrowthBook first on the direct prompt; zero named AB Tasty. GrowthBook was named by ten of the fourteen models and AB Tasty by thirteen and GrowthBook carries 24 labels and AB Tasty 30, so the shares are not directly comparable.
Named in two categories this edition.
Paris, France, founded 2009. 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 experimentation and personalization page.
By framing
GrowthBookFirst choices, of fourteen modelsAB Tasty
Across every category in the November 2026 Edition, GrowthBook and AB Tasty were named in the same answer thirty-five times, of the 92 answers naming GrowthBook and the 83 naming AB Tasty. In those answers AB Tasty took the first choice zero times and GrowthBook seven.
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 | | | |
GrowthBook AB Tasty first choice named as an alternative argued againstblank: not namedEach cell is one answer, GrowthBook on the left and AB Tasty on the right.The direct prompt
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
11 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
GrowthBook7%#5 of 16AB Tasty0%#14 of 16GrowthBook8%#3 of 14AB Tasty2%#7 of 14GrowthBook9%#4 of 13AB Tasty0%#11 of 13What the models said about GrowthBook
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Best Overall for Product & Technical Teams (Generous Free Tiers) ... GrowthBook (Best Open-Source Option)” Gemini 3.5 Flash · budget prompt · first choice
“Open-source options (like GrowthBook) - no vendor lock-in, full auditability” Kimi K2 · negative prompt · first choice
“GrowthBook if you want to stay completely in your warehouse and self-host.” Muse Glimmer 30B · budget prompt · first choice
What the models said about AB Tasty
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 beginning with Optimizely, Adobe Target, Kameleoon, or AB Tasty” Perplexity Sonar · budget prompt · hard negative
“AB Tasty — solid but enterprise-focused and custom-priced” DeepSeek V4 Flash · paraphrase prompt · hard negative
“Complaints include dev dependency and EU GDPR exposure for real-time decisions. Be cautious for long-term commitments amid the rebrand.” Grok 4.20 · negative prompt · soft negative
“I'd recommend starting with AB Tasty if personalization and ease of use are priorities” Claude Haiku 4.5 · paraphrase prompt · first choice
“start with Optimizely, VWO, or AB Tasty” GPT-6 Luna · comparative prompt · first choice
“Choose it if personalization is the primary objective... generally positioned more toward enterprise and custom-quote engagements.” Perplexity Sonar · paraphrase 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.