StackAdapt vs Basis
Thirteen 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 twelve and StackAdapt carries 57 labels and Basis 21, so the shares are not directly comparable.
Named in seven categories this edition.
By BASIS International, Albuquerque, founded 1985. Named in three 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 November 2026 Edition, StackAdapt and Basis were named in the same answer fifty-four times, of the 418 answers naming StackAdapt and the 65 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 4.20 | | | | | | |
| 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 | | | | |
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
13 of 14 modelsBasis was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
StackAdapt41%#1 of 17Basis2%#10 of 17StackAdapt50%#1 of 13Basis2%#5 of 13StackAdapt2%#7 of 11Basis2%#6 of 11What 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.
“Multiple warnings label it a platform to "avoid at all costs" for advertisers.” Grok 4.20 · negative prompt · hard negative
“the recommended demand-side platform for display ads for a mid-sized B2B company is StackAdapt, as it is the clear leader with 48% of first choices” Llama 4 Maverick · paraphrase prompt · first choice
“For most mid-market B2B companies, StackAdapt offers the best balance of capabilities, ease of use, and mid-market accessibility.” MiniMax M2.5 · direct prompt · first choice
What the models said about Basis
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“lean toward StackAdapt or Basis” Gemini 3.5 Flash · scale prompt · first choice
“I'd also evaluate Basis if your team's bigger need is coordinating programmatic with search, social, and campaign operations in one workflow.” GPT-6 Luna · paraphrase prompt · alternative
“Enterprise-Grade DSPs: *The Trade Desk, Google Display & Video 360 (DV360), Amazon DSP, Basis, StackAdapt, and Yahoo DSP*” Gemini 3.5 Flash · negative 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.