# Optro vs Drata: which do AI models recommend for internal controls, October 2026

Finance AI Recommendation Index, October 2026 Edition, Internal controls and SOX. Two of fourteen models named Optro first on the direct prompt; zero named Drata. Page: https://finance-ai-index.com/tax/internal-controls-and-sox/optro-vs-drata/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Optro | 6% | #5 of 16 | 27% | 15 | 9 of 14 |
| Drata | 2% | #8 of 16 | 18% | 17 | 8 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: optro first (first choices: Optro) (alternatives: FloQast, Pathlock, Scytale, Vanta, Workiva)
- GPT-6 Luna: optro first (first choices: Optro) (alternatives: FloQast, Workiva)
- Perplexity Sonar: neither first, one named (first choices: FloQast) (alternatives: Netwrix Auditor, Optro, Scytale)
- Claude Haiku 4.5: neither named (alternatives: BlackLine, FloQast, HighRadius, LogicGate Risk Cloud, Scytale)
- GPT-5.4 mini: neither named (first choices: AuditBoard) (alternatives: Vanta, Workiva)
- Grok 4.1 Fast: neither named (first choices: FloQast) (alternatives: AuditBoard, BlackLine)
- Mistral Small: neither named (first choices: AuditBoard, FloQast) (alternatives: Complies.ai, Scytale)
- DeepSeek V4 Flash: neither named (first choices: FloQast) (alternatives: BlackLine, Hyperproof, Workiva)
- Llama 4 Maverick: neither named (first choices: FloQast, Scytale)
- Qwen 3.7 Flash: neither named (first choices: FloQast) (alternatives: AuditBoard, Scytale)
- Kimi K2: neither named (first choices: FloQast) (alternatives: Hyperproof, Onspring, Workiva)
- GLM 4.7 FlashX: neither named (first choices: FloQast) (alternatives: Hyperproof, NAVEX One, Onspring, Workiva)
- MiniMax M2.5: neither named (first choices: FloQast) (alternatives: AuditBoard, Workiva)
- Muse Glimmer 30B: neither named (first choices: FloQast) (alternatives: AuditBoard, HighRadius, Hyperproof, Onspring, Scytale)

## What the models said about Optro

- "What to Avoid on a Budget - AuditBoard/Optro \u2014 custom pricing, typically enterprise-level" (DeepSeek V4 Flash, budget prompt, hard negative)
- "typically starts at $25,000–$50,000 per year based on brokered contract medians, which is often too steep for SMBs or startups" (Grok 4.1 Fast, budget prompt, soft negative)
- "expensive suites like AuditBoard/Optro or Workiva may be overkill before you've established basic IT general controls" (Kimi K2, negative prompt, soft negative)
- "Best For: Mid-market to large enterprises seeking a unified "single source of truth" connecting internal audit, SOX compliance, IT risk, and enterprise risk." (Gemini 3.5 Flash, comparative prompt, first choice)
- "Best Overall for Risk & Audit Workflows: Optro (formerly AuditBoard) ... is the industry gold standard." (Gemini 3.5 Flash, direct prompt, first choice)
- "The most common mid-market pick for a full control lifecycle is Optro, formerly AuditBoard." (Muse Glimmer 30B, paraphrase prompt, first choice)

## What the models said about Drata

- "Drata \u2014 reported $7,500\u2013$100,000+/year" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Note: While great for IT, make sure they support the financial testing workflows your SOX auditors will require." (Gemini 3.5 Flash, scale prompt, soft negative)
- "compliance automation tools, not full control management suites" (DeepSeek V4 Flash, paraphrase prompt, soft negative)
- "Choose Drata if your bottleneck is IT compliance and you want to automate evidence collection to save on labor costs." (Qwen 3.7 Flash, budget prompt, first choice)
- "Drata is specifically labeled mid-market in buyer guides" (Muse Glimmer 30B, paraphrase prompt, alternative)
- "Best for compliance automation: Drata or Sprinto" (GPT-5.4 mini, paraphrase prompt, alternative)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.