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Compliance automation · October 2026 Edition

Drata vs Vanta

Nine of fourteen models named Drata first on the direct prompt; seven named Vanta. Both were named by all fourteen models and Drata carries 63 labels and Vanta 67, so the shares are not directly comparable.

Drata

endorsed leader

Named in seven categories this edition.

Vanta

accepted challenger

Named in nine categories this edition.

First-choice share34%29%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%22%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 9; printed, not drawn.
Labels6367A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Drata reading right to left. Rank and label count are printed, not drawn.Secureframe was named alongside these two in eleven of the fourteen direct answers. Drata vs Sprinto · Drata vs Secureframe · Drata vs Scrut Automation

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 compliance automation page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DrataFirst choices, of fourteen modelsVanta
Direct97
Paraphrase87
Comparative511
Budget-constrained006 against Drata · 9 against Vanta
Scale-constrained33
Negative014 against Drata · 6 against Vanta
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, Drata and Vanta were named in the same answer 376 times, of the 413 answers naming Drata and the 526 naming Vanta. In those answers Vanta took the first choice seventy-three times and Drata twenty-three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Drata and Vanta 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
Drata Vanta first choice named as an alternative argued againstblank: not namedEach cell is one answer, Drata on the left and Vanta on the right.

The direct prompt

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

Both were the first choice

3 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
Gemini 3.5 FlashDrata, Vanta alternatives: Secureframe, Sprinto, Thoropass
Perplexity SonarDrata, Vanta alternatives: Hyperproof, LogicGate Risk Cloud
MiniMax M2.5Drata, Vanta alternatives: Secureframe, Sprinto

Drata first, Vanta an alternative

6 of 14 modelsVanta was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Drata alternatives: Hyperproof, Secureframe, Thoropass
Grok 4.20Drata alternatives: Secureframe, Vanta
DeepSeek V4 FlashDrata alternatives: HiComply, Hyperproof, ISMS.online, Orbiq, Secureframe, Sprinto, Vanta
Kimi K2Drata alternatives: Secureframe, Vanta
GLM 4.7 FlashXDrata, Secureframe alternatives: Hyperproof, Orbiq, Vanta
GPT-6 LunaDrata alternatives: Hyperproof, Vanta

Vanta first, Drata an alternative

4 of 14 modelsDrata was named in the answer but not as the choice, or not at all.
GPT-5.4 miniVanta alternatives: AuditBoard, Drata, Secureframe
Mistral SmallVanta alternatives: Drata, LogicGate Risk Cloud, Secureframe, Sprinto, Thoropass
Qwen 3.7 FlashVanta alternatives: Drata, Secureframe, Sprinto
Muse Glimmer 30BVanta alternatives: Drata, Hyperproof, Secureframe, Sprinto

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice

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
Vanta leads by twenty-seven points.
Vanta35%#1 of 6
Drata8%#3 of 6
The full small business standing →
Mid-marketThe figures above
The order flips: Drata leads at mid-market.
Drata34%#1 of 9
Vanta29%#2 of 9
The full mid-market standing →
Enterprise
The order flips: Vanta leads at enterprise.
Vanta37%#1 of 10
Drata26%#2 of 10
The full enterprise standing →

What the models said about Drata

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

“What to Avoid If Budget Is Tight ... Drata (~$7.5K–$15K+/yr)” Kimi K2 · budget prompt · hard negative
“Drata is the strongest all-around recommendation for mid-market scale, cross-framework automation, and proven audit workflow experience.” DeepSeek V4 Flash · direct prompt · first choice
“Go with Drata if you have a strong engineering team; go with Vanta if you have a standard SaaS-heavy stack and want speed.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Consider vendors like Vanta, Drata, Secureframe, or similar platforms that specialize in mid-market compliance automation” GLM 4.7 FlashX · scale prompt · first choice

What the models said about Vanta

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

“What to Avoid If Budget Is Tight ... Vanta (~$10K–$35K+/yr)” Kimi K2 · budget prompt · hard negative
“Widely recognized for its comprehensive features and strong automation capabilities, making it a top choice for mid-market B2B companies.” Mistral Small · direct 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.