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Video advertising · November 2026 Edition

Meta Ads vs The Trade Desk

Zero of fourteen models named Meta Ads first on the direct prompt; zero named The Trade Desk. Meta Ads was named by thirteen of the fourteen models and The Trade Desk by fourteen and Meta Ads carries 43 labels and The Trade Desk 31, so the shares are not directly comparable.

Meta Ads

accepted challenger

By Meta Platforms, Menlo Park, United States, founded 2004. Named in six categories this edition.

The Trade Desk

criticized challenger

By Trade Desk, Ventura, United States, founded 2009. Named in ten categories this edition.

First-choice share8%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%29%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 13; printed, not drawn.
Labels4331A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Meta Ads reading right to left. Rank and label count are printed, not drawn.LinkedIn Video Ads was named alongside these two in thirteen of the fourteen direct answers. LinkedIn Video Ads vs Meta Ads · LinkedIn Video Ads vs The Trade Desk · StackAdapt vs Meta Ads

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Meta AdsFirst choices, of fourteen modelsThe Trade Desk
Direct002 against Meta Ads · 4 against The Trade Desk
Paraphrase015 against The Trade Desk
Comparative00
Budget-constrained40
Scale-constrained00
Negative012 against Meta Ads
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Meta Ads and The Trade Desk were named in the same answer fifty-one times, of the 230 answers naming Meta Ads and the 393 naming The Trade Desk. In those answers The Trade Desk took the first choice ten times and Meta Ads six.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Meta Ads and The Trade Desk stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Meta Ads The Trade Desk first choice named as an alternative argued againstblank: not namedEach cell is one answer, Meta Ads on the left and The Trade Desk on the right.

The direct prompt

The plain question, one answer per model, grouped by where Meta Ads and The Trade Desk stood in it.

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.
Gemini 3.5 FlashLinkedIn Video Ads alternatives: MNTN, Meta Ads, YouTube Ads
Qwen 3.7 FlashLinkedIn Video Ads, YouTube Ads alternatives: Demandbase CTV, Google Display, Meta Ads, StackAdapt, The Trade Desk

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5LinkedIn Video Ads, StackAdapt alternatives: Vibe.co, Vidyard, Wistia
GPT-5.4 miniLinkedIn Video Ads alternatives: YouTube Ads
Perplexity SonarStackAdapt alternatives: Demandbase CTV, LinkedIn Video Ads, Vibe.co, YouTube Ads
Grok 4.20LinkedIn Video Ads alternatives: YouTube Ads
Mistral SmallLinkedIn Video Ads, YouTube Ads alternatives: Demandbase CTV
DeepSeek V4 FlashLinkedIn Video Ads alternatives: Demandbase CTV, StackAdapt, YouTube Ads
Llama 4 MaverickStackAdapt
Kimi K2LinkedIn Video Ads alternatives: StackAdapt, Vibe.co, YouTube Ads
GLM 4.7 FlashXLinkedIn Video Ads alternatives: Demandbase CTV, Spotify Ads, StackAdapt, YouTube Ads
MiniMax M2.5LinkedIn Video Ads alternatives: Demandbase CTV, YouTube Ads
GPT-6 LunaLinkedIn Video Ads alternatives: YouTube Ads
Muse Glimmer 30BLinkedIn Video Ads, StackAdapt alternatives: YouTube Ads

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Meta Ads leads by fifteen points.
Meta Ads15%#3 of 9
The Trade Desk0%#9 of 9
The full small business standing →
Mid-marketThe figures above
Meta Ads leads by six points.
Meta Ads8%#5 of 13
The Trade Desk2%#8 of 13
The full mid-market standing →
Enterprise
The order flips: The Trade Desk leads at enterprise.
The Trade Desk17%#2 of 11
Meta Ads0%#10 of 11
The full enterprise standing →

What the models said about Meta Ads

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two 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
“the best video advertising platforms are YouTube Ads (Google Ads) and Meta Ads (Facebook & Instagram)” Gemini 3.5 Flash · budget prompt · first choice

What the models said about The Trade Desk

No label in this category carried a quote.

Also compared

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.