Basis vs DV360
Zero of fourteen models named Basis first on the direct prompt; zero named DV360. Basis was named by twelve of the fourteen models and DV360 by ten and Basis carries 21 labels and DV360 15, so the shares are not directly comparable.
By BASIS International, Albuquerque, founded 1985. Named in three categories this edition.
DV360
criticized challengerNamed in four 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
BasisFirst choices, of fourteen modelsDV360Across every category in the November 2026 Edition, Basis and DV360 were named in the same answer eleven times, of the 65 answers naming Basis and the 58 naming DV360. In those answers DV360 took the first choice zero times and Basis zero.
Every model, every framing
| Model | DirectDV | ParaphraseDV | ComparativeDV | Budget-constrainedDV | Scale-constrainedDV | NegativeDV |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | DV | DV | DV | |||
| GPT-5.4 mini | DV | | DV | |||
| Gemini 3.5 Flash | | | ||||
| Perplexity Sonar | DV | | ||||
| Grok 4.20 | DV | |||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | DV | | ||||
| Llama 4 Maverick | DV | |||||
| Qwen 3.7 Flash | DV | |||||
| Kimi K2 | DV | | DV | |||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | | |||||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | DV |
BasisDV DV360 first choice named as an alternative argued againstblank: not namedEach cell is one answer, Basis on the left and DV360 on the right.The direct prompt
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
12 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
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
What the models said about DV360
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Platforms to AVOID with Limited Budgets ... ~$25,000+/month | Enterprise-focused, managed service required” Kimi K2 · budget prompt · hard negative
“Platforms to Skip at Mid-Market - The Trade Desk / DV360 — powerful but built for enterprise budgets” DeepSeek V4 Flash · direct prompt · hard negative
“avoid enterprise-heavy platforms like The Trade Desk or DV360” GPT-5.4 mini · budget prompt · hard negative
“Starting with DV360 or The Trade Desk as they balance functionality with usability” Claude Haiku 4.5 · paraphrase prompt · first choice
“managed enterprise options like The Trade Desk and DV360” Muse Glimmer 30B · scale 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.