StackAdapt vs Basis
Eleven of fourteen models named StackAdapt first on the direct prompt; zero named Basis. StackAdapt was named by fourteen of the fourteen models and Basis by ten and StackAdapt carries 60 labels and Basis 16, so the shares are not directly comparable.
Named in eight categories this edition.
By BASIS International, Albuquerque, founded 1985. Named in five categories 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 programmatic and display advertising page.
By framing
StackAdaptFirst choices, of fourteen modelsBasis
Across every category in the October 2026 Edition, StackAdapt and Basis were named in the same answer forty-two times, of the 388 answers naming StackAdapt and the 58 naming Basis. In those answers Basis took the first choice zero times and StackAdapt seventeen.
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 4.1 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 | | | | |
StackAdapt Basis first choice named as an alternative argued againstblank: not namedEach cell is one answer, StackAdapt on the left and Basis on the right.The direct prompt
StackAdapt first, Basis an alternative
11 of 14 modelsBasis was named in the answer but not as the choice, or not at all.Neither was named
3 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
StackAdapt43%#1 of 15Basis0%#– of 15StackAdapt48%#1 of 13Basis2%#7 of 13What the models said about StackAdapt
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Good self-serve option too, but it's generally positioned more as an advanced multichannel DSP with custom usage-based pricing rather than an obviously low-entry-budget tool.” GPT-5.4 mini · budget prompt · soft negative
“often considered by smaller teams, but I'd want to verify your exact use case before recommending it over The Trade Desk or Demandbase” GPT-5.4 mini · direct prompt · soft negative
“strong for smaller agencies, but the budget guidance in the results suggests it is better once spend is a bit higher” Perplexity Sonar · budget prompt · soft negative
What the models said about Basis
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Basis Technologies (formerly Centro): Excellent workflow automation tools, great for regional or mid-market companies” Gemini 3.5 Flash · scale 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.