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GRC platforms · November 2026 Edition

Sprinto vs Compyl

Zero of fourteen models named Sprinto first on the direct prompt; one named Compyl. Sprinto was named by eleven of the fourteen models and Compyl by seven and Sprinto carries 21 labels and Compyl 12, so the shares are not directly comparable.

Sprinto

accepted challenger

Named in six categories this edition.

Compyl

accepted challenger

Named in one category this edition.

First-choice share9%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 20; printed, not drawn.
Labels2112A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Sprinto reading right to left. Rank and label count are printed, not drawn.Hyperproof was named alongside these two in eleven of the fourteen direct answers. Hyperproof vs Sprinto · Hyperproof vs Compyl · Vanta vs Sprinto

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
SprintoFirst choices, of fourteen modelsCompyl
Direct01
Paraphrase12
Comparative00
Budget-constrained401 against Sprinto
Scale-constrained00
Negative00
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 Sprinto and Compyl 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
Sprinto Compyl first choice named as an alternative argued againstblank: not namedEach cell is one answer, Sprinto on the left and Compyl on the right.

The direct prompt

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

Compyl first, Sprinto not the choice

1 of 14 modelsSprinto was named in the answer but not as the choice, or not at all.
Muse Glimmer 30BCompyl, Hyperproof, LogicGate alternatives: Drata, LogicManager, OneTrust GRC, Resolver, Riskonnect, Secureframe, Vanta, ZenGRC

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5no first choice alternatives: Compyl, Drata, Hyperproof, Korinza, Vanta
GPT-5.4 miniLogicGate, Onspring alternatives: Scrut Automation, Sprinto
GLM 4.7 FlashXHyperproof, LogicGate Risk Cloud alternatives: AuditBoard, Compyl

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashDrata, Vanta alternatives: AuditBoard, Hyperproof, LogicGate Risk Cloud
Perplexity SonarHyperproof alternatives: AuditBoard, Drata, LogicGate Risk Cloud, Scrut Automation, Vanta
Grok 4.20ZenGRC alternatives: AuditBoard, Hyperproof, LogicGate
Mistral SmallHyperproof alternatives: AuditBoard, LogicGate, Workiva
DeepSeek V4 FlashHyperproof alternatives: AuditBoard, LogicGate Risk Cloud, Vanta
Llama 4 Maverickno first choice
Qwen 3.7 FlashLogicGate Risk Cloud alternatives: Hyperproof, Optro, RiskWatch, ServiceNow Integrated Risk Management
Kimi K2Hyperproof, LogicGate Risk Cloud, Vanta alternatives: AuditBoard, Onspring, RiskWatch
MiniMax M2.5Vanta alternatives: AuditBoard, Drata, LogicGate, Secureframe
GPT-6 LunaHyperproof alternatives: Drata, Vanta

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
Compyl is not named for this buyer.
Sprinto13%#2 of 16
Compyl—not named
The full small business standing →
Mid-marketThe figures above
Sprinto leads by four points.
Sprinto9%#4 of 20
Compyl5%#7 of 20
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Sprinto0%#– of 15
Compyl0%#– of 15
The full enterprise standing →

What the models said about Sprinto

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

“Higher‑tier tools (Sprinto, Hyperproof) are still mid‑market price points and may be overkill for very small teams.” GLM 4.7 FlashX · budget prompt · soft negative
“Sprinto works well for startups with limited budgets and simple compliance needs, but it lacks the depth required for enterprise deployments.” Claude Haiku 4.5 · budget prompt · first choice
“Sprinto - Offers streamlined pricing and compliance automation without the enterprise overhead of traditional GRC tools.” Llama 4 Maverick · budget prompt · first choice

What the models said about Compyl

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

“Hyperproof or Compyl — they hit the sweet spot of being robust enough for a maturing program without the enterprise bloat.” Kimi K2 · paraphrase prompt · first choice
“Highly rated for mid-market companies, especially if you need a balance of compliance, risk, and governance in one system.” Mistral Small · paraphrase prompt · first choice
“a unified GRC platform such as Compyl, Hyperproof, or LogicGate is the right starting point” Muse Glimmer 30B · 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.