YouTube Ads vs The Trade Desk
Two of fourteen models named YouTube Ads first on the direct prompt; zero named The Trade Desk. Both were named by all fourteen models and YouTube Ads carries 51 labels and The Trade Desk 31, so the shares are not directly comparable.
By YouTube, San Bruno, United States, founded 2005. Named in two categories this edition.
By Trade Desk, Ventura, United States, founded 2009. Named in ten 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 video advertising page.
By framing
YouTube AdsFirst choices, of fourteen modelsThe Trade Desk
Across every category in the November 2026 Edition, YouTube Ads and The Trade Desk were named in the same answer forty-three times, of the 135 answers naming YouTube Ads and the 393 naming The Trade Desk. In those answers The Trade Desk took the first choice four times and YouTube Ads ten.
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 | | |
YouTube Ads The Trade Desk first choice named as an alternative argued againstblank: not namedEach cell is one answer, YouTube Ads on the left and The Trade Desk on the right.The direct prompt
YouTube Ads first, The Trade Desk an alternative
2 of 14 modelsThe Trade Desk was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
10 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
YouTube Ads24%#1 of 9The Trade Desk0%#9 of 9YouTube Ads18%#3 of 13The Trade Desk2%#8 of 13The Trade Desk17%#2 of 11YouTube Ads0%#9 of 11What the models said about YouTube Ads
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“YouTube Ads and Meta Ads are also mentioned as having some negative labels, but not to the same extent as X” Llama 4 Maverick · negative prompt · soft negative
“especially where the money is juiciest: Connected TV (CTV), YouTube, in-stream and in-feed video” Claude Haiku 4.5 · negative prompt · soft negative
“its open inventory—particularly user-generated content—can pose significant brand safety risks” Mistral Small · negative prompt · soft negative
“Best for intent and evergreen / low CPV: YouTube TrueView or YouTube Shorts. The CPV model and $2-$6 CPM for Shorts make it the most cost-efficient for small budgets.” Muse Glimmer 30B · budget prompt · first choice
“Choose YouTube if you want to capture users with specific intent, need detailed analytics, or want to leverage Google's ecosystem” Kimi K2 · comparative prompt · first choice
“YouTube and Facebook/Instagram are generally the safest starting points due to their flexibility and targeting options.” Claude Haiku 4.5 · budget prompt · first choice
What the models said about The Trade Desk
No label in this category carried a quote.
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.