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Programmatic and display advertising · October 2026 Edition

Amazon DSP vs Basis

Zero of fourteen models named Amazon DSP first on the direct prompt; zero named Basis. Amazon DSP was named by thirteen of the fourteen models and Basis by ten and Amazon DSP carries 32 labels and Basis 16, so the shares are not directly comparable.

Amazon DSP

criticized challenger

By Amazon, Seattle, United States, founded 1994. Named in six categories this edition.

Basis

accepted challenger

By BASIS International, Albuquerque, founded 1985. Named in five categories this edition.

First-choice share3%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate28%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 13; printed, not drawn.
Labels3216A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Amazon DSP reading right to left. Rank and label count are printed, not drawn.StackAdapt was named alongside these two in eleven of the fourteen direct answers. StackAdapt vs Amazon DSP · StackAdapt vs Basis · The Trade Desk vs Amazon DSP

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Amazon DSPFirst choices, of fourteen modelsBasis
Direct00
Paraphrase002 against Amazon DSP
Comparative00
Budget-constrained103 against Amazon DSP
Scale-constrained11
Negative104 against Amazon DSP
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 October 2026 Edition, Amazon DSP and Basis were named in the same answer twenty-seven times, of the 159 answers naming Amazon DSP and the 58 naming Basis. In those answers Basis took the first choice one time and Amazon DSP zero.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Amazon DSP and Basis stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
Amazon DSP Basis first choice named as an alternative argued againstblank: not namedEach cell is one answer, Amazon DSP on the left and Basis on the right.

The direct prompt

The plain question, one answer per model, grouped by where Amazon DSP and Basis stood in it.

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5StackAdapt alternatives: AdRoll ABM, Basis, Demandbase, LinkedIn Campaign Manager
DeepSeek V4 FlashStackAdapt alternatives: AdRoll ABM, Basis, Demandbase
Kimi K2StackAdapt alternatives: 6sense, Basis, Demandbase, LinkedIn Campaign Manager
Muse Glimmer 30BStackAdapt alternatives: 6sense, AdRoll ABM, Basis, Demandbase, Simpli.fi

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniThe Trade Desk alternatives: Demandbase
Gemini 3.5 FlashStackAdapt alternatives: AdLib, AdRoll ABM, Demandbase, LinkedIn Campaign Manager
Perplexity SonarStackAdapt alternatives: Demandbase
Grok 4.1 FastStackAdapt alternatives: AdRoll ABM, Demandbase, Google Display & Video 360, LinkedIn Campaign Manager
Mistral SmallStackAdapt alternatives: 6sense, Demandbase, LiveRamp RampID
Llama 4 MaverickStackAdapt
Qwen 3.7 FlashThe Trade Desk alternatives: 6sense, Demandbase, Google Display & Video 360, Spotware
GLM 4.7 FlashXStackAdapt alternatives: AdRoll ABM, Hey Sid
MiniMax M2.5Google Marketing Platform, The Trade Desk alternatives: LinkedIn Campaign Manager, Media.net
GPT-6 LunaStackAdapt alternatives: 6sense, Demandbase, LinkedIn Campaign Manager

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
Level: the same share of first choices.
Amazon DSP0%#15 of 15
Basis0%#– of 15
The full small business standing →
Mid-marketThe figures above
Amazon DSP leads by two points.
Amazon DSP3%#5 of 13
Basis2%#7 of 13
The full mid-market standing →
Enterprise
Amazon DSP leads by four points.
Amazon DSP4%#5 of 10
Basis0%#9 of 10
The full enterprise standing →

What the models said about Amazon DSP

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

“Amazon DSP ($35K+) have high thresholds, complex contracts, and are geared toward large-scale operations” Grok 4.1 Fast · budget prompt · hard negative
“$35K/month minimum, retail-focused, limited B2B utility” Kimi K2 · paraphrase prompt · hard negative
“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 4.1 Fast · scale prompt · first choice

What the models said about Basis

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

“Basis Technologies (formerly Centro): Excellent workflow automation tools, great for regional or mid-market companies” Gemini 3.5 Flash · scale prompt · first choice
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.