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Index › Marketing › Video ads › StackAdapt vs MNTN
Video advertising · October 2026 Edition

StackAdapt vs MNTN

Six of fourteen models named StackAdapt first on the direct prompt; zero named MNTN. StackAdapt was named by thirteen of the fourteen models and MNTN by ten and StackAdapt carries 36 labels and MNTN 15, so the shares are not directly comparable.

StackAdapt

endorsed leader

Named in eight categories this edition.

MNTN

accepted challenger

Named in one category this edition.

First-choice share32%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 13; printed, not drawn.
Labels3615A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, StackAdapt reading right to left. Rank and label count are printed, not drawn.YouTube Ads was named alongside these two in nine of the fourteen direct answers. StackAdapt vs YouTube Ads · StackAdapt vs Meta Ads · StackAdapt vs LinkedIn Video 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.
StackAdaptFirst choices, of fourteen modelsMNTN
Direct60
Paraphrase101
Comparative00
Budget-constrained00
Scale-constrained10
Negative10
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where StackAdapt and MNTN stood in it.
ModelDirectMNParaphraseMNComparativeMNBudget-constrainedMNScale-constrainedMNNegativeMN
Claude Haiku 4.5MNMN
GPT-5.4 mini
Gemini 3.5 FlashMNMNMN
Perplexity SonarMN
Grok 4.1 FastMN
Mistral SmallMN
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2MN
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 LunaMN
Muse Glimmer 30B
StackAdaptMN MNTN first choice named as an alternative argued againstblank: not namedEach cell is one answer, StackAdapt on the left and MNTN on the right.

The direct prompt

The plain question, one answer per model, grouped by where StackAdapt and MNTN stood in it.

StackAdapt first, MNTN an alternative

6 of 14 modelsMNTN was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5StackAdapt alternatives: LinkedIn Video Ads, MNTN, Vibe.co
Perplexity SonarStackAdapt alternatives: AdRoll ABM, LinkedIn Video Ads, The Trade Desk, Vibe.co
Mistral SmallStackAdapt alternatives: Demandbase, YouTube Ads
Llama 4 MaverickStackAdapt
Qwen 3.7 FlashLinkedIn Video Ads, StackAdapt alternatives: Google Ads
MiniMax M2.5StackAdapt alternatives: AdRoll, Demandbase, Hey Sid

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashLinkedIn Video Ads alternatives: Meta Ads, StackAdapt, Vibe.co, YouTube Ads
DeepSeek V4 FlashLinkedIn Video Ads alternatives: StackAdapt, YouTube Ads
Kimi K2LinkedIn Video Ads, YouTube Ads alternatives: Hey Sid, StackAdapt
GLM 4.7 FlashXLinkedIn Video Ads alternatives: Demandbase, StackAdapt, YouTube Ads
GPT-6 LunaLinkedIn Campaign Manager alternatives: StackAdapt, YouTube Ads
Muse Glimmer 30BLinkedIn Sponsored Video / LinkedIn Campaign Manager alternatives: Google Video, StackAdapt, YouTube Ads

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniLinkedIn Campaign Manager alternatives: YouTube Ads
Grok 4.1 FastLinkedIn Campaign Manager 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
MNTN leads by four points.
MNTN7%#7 of 11
StackAdapt4%#9 of 11
The full small business standing →
Mid-marketThe figures above
The order flips: StackAdapt leads at mid-market.
StackAdapt32%#1 of 13
MNTN2%#6 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
StackAdapt2%#5 of 9
MNTN2%#6 of 9
The full enterprise standing →

What the models said about StackAdapt

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“1. StackAdapt – Best for Programmatic & Multi-Channel Reach ... Designed specifically for advertisers who need programmatic sophistication without enterprise-level complexity or costs.” Qwen 3.7 Flash · direct prompt · first choice
“This programmatic advertising platform is highly regarded for mid-market advertisers, offering strong video capabilities and a user-friendly interface.” Mistral Small · direct prompt · first choice

What the models said about MNTN

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“StackAdapt and MNTN are the best choices for dedicated CTV and online video advertising” Mistral Small · paraphrase prompt · first choice
“MNTN is built for brands that don't have in-house video production, with higher budget minimums and managed service overhead.” Claude Haiku 4.5 · comparative prompt · alternative
“have democratized CTV for growth marketers and SMBs by offering self-serve buying with budgets as low as $50/day” Gemini 3.5 Flash · comparative prompt · alternative
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.