Vanta vs Drata
Three of fourteen models named Vanta first on the direct prompt; one named Drata. Vanta was named by fourteen of the fourteen models and Drata by thirteen and Vanta carries 54 labels and Drata 43, so the shares are not directly comparable.
Named in seven categories this edition.
Named in seven 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 GRC platforms page.
By framing
VantaFirst choices, of fourteen modelsDrata
Across every category in the November 2026 Edition, Vanta and Drata were named in the same answer 374 times, of the 436 answers naming Vanta and the 428 naming Drata. In those answers Drata took the first choice twenty-one times and Vanta eighty-nine.
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 | | | | |
Vanta Drata first choice named as an alternative argued againstblank: not namedEach cell is one answer, Vanta on the left and Drata on the right.The direct prompt
Both were the first choice
1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Vanta first, Drata an alternative
2 of 14 modelsDrata was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 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
What the models said about Vanta
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Avoid for most mid-market B2B: Enterprise-heavy like ServiceNow IRM, RSA Archer, or MetricStream (overkill/costly); pure startup tools like Vanta/Drata (under-scoped for broad GRC” Grok 4.20 · direct prompt · hard negative
“When to Avoid: If you want deep control over customization and have a smaller team that needs flexible support.” GLM 4.7 FlashX · negative prompt · hard negative
“Choose Vanta or Drata if your company is under ~500 employees, cloud-native, and needs a streamlined solution to pass security audits” Gemini 3.5 Flash · direct prompt · first choice
What the models said about Drata
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“pure startup tools like Vanta/Drata (under-scoped for broad GRC beyond initial SOC 2)” Grok 4.20 · direct prompt · hard negative
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.