StackAdapt vs The Trade Desk
Eleven of fourteen models named StackAdapt first on the direct prompt; three named The Trade Desk. Both were named by all fourteen models and StackAdapt carries 60 labels and The Trade Desk 59, so the shares are not directly comparable.
Named in eight categories this edition.
By Trade Desk, Ventura, United States, founded 2009. Named in nine 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 modelsThe Trade Desk
Across every category in the October 2026 Edition, StackAdapt and The Trade Desk were named in the same answer 201 times, of the 388 answers naming StackAdapt and the 350 naming The Trade Desk. In those answers The Trade Desk took the first choice forty-four times and StackAdapt sixty-nine.
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 The Trade Desk first choice named as an alternative argued againstblank: not namedEach cell is one answer, StackAdapt on the left and The Trade Desk on the right.The direct prompt
StackAdapt first, The Trade Desk not the choice
11 of 14 modelsThe Trade Desk was named in the answer but not as the choice, or not at all.The Trade Desk first, StackAdapt not the choice
3 of 14 modelsStackAdapt was named in the answer but not as the choice, or not at all.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 15The Trade Desk2%#12 of 15StackAdapt48%#1 of 13The Trade Desk10%#2 of 13The Trade Desk39%#1 of 10StackAdapt6%#4 of 10What 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 The Trade Desk
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Enterprise DSPs like The Trade Desk ($50K+/month) ... aren't practical for small budgets” Grok 4.20 · budget prompt · hard negative
“$20K–$50K/month minimum, better for large-scale consumer campaigns” Kimi K2 · paraphrase prompt · hard negative
“mid-market companies usually cannot afford the $25,000–$50,000 monthly minimums required for a direct seat on enterprise demand-side platforms (DSPs) like *The Trade Desk*” Gemini 3.5 Flash · direct prompt · soft negative
“If you need open-web reach and CTV without being locked into a single vendor, The Trade Desk is a strong independent option.” GLM 4.7 FlashX · comparative prompt · first choice
“generally considered to offer better safety controls, more transparency, and stronger fraud prevention mechanisms” MiniMax M2.5 · negative prompt · first choice
“Prioritize platforms like Google DV360, The Trade Desk, MediaMath, or Amazon DSP, but test via demos or pilots.” Grok 4.20 · 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.