One of fourteen models named Strac first on the direct prompt; zero named IBM watsonx.governance. Strac was named by eight of the fourteen models and IBM watsonx.governance by fourteen and Strac carries 11 labels and IBM watsonx.governance 41, so the shares are not directly comparable.
Named in four categories this edition.
Named in two 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 AI governance platforms page.
Across every category in the November 2026 Edition, Strac and IBM watsonx.governance were named in the same answer twenty-eight times, of the 83 answers naming Strac and the 145 naming IBM watsonx.governance. In those answers IBM watsonx.governance took the first choice zero times and Strac fifteen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | IW | |||||
| GPT-5.4 mini | IW | IW | IW | IW | ||
| Gemini 3.5 Flash | IW | IW | ||||
| Perplexity Sonar | IW | IW | IW | |||
| Grok 4.20 | IW | IW | IW | |||
| Mistral Small | IW | |||||
| DeepSeek V4 Flash | IW | IW | IW | IW | ||
| Llama 4 Maverick | IW | |||||
| Qwen 3.7 Flash | IW | |||||
| Kimi K2 | IW | IW | ||||
| GLM 4.7 FlashX | IW | IW | ||||
| MiniMax M2.5 | IW | IW | IW | IW | ||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | IW | IW |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Strac's per-user modular pricing is the cheapest purpose-built commercial option cited for usage governance.” Muse Glimmer 30B · budget prompt · first choice
“the best AI governance platform is typically Strac or Prompts.ai” Grok 4.20 · budget prompt · first choice
“Best for AI usage governance and data protection — Strac.” Muse Glimmer 30B · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid for mid-market: Heavy enterprise tools like IBM watsonx.governance, BigID, or ModelOp” Grok 4.20 · direct prompt · hard negative
“What to Avoid on a Limited Budget | IBM watsonx.governance | $3,500/month | Enterprise-priced” DeepSeek V4 Flash · budget prompt · hard negative
“avoiding for mid-market budgets: IBM watsonx.governance — starts around $75K+” DeepSeek V4 Flash · direct prompt · hard negative
“Connects AI inventories, risks, controls, and regulatory obligations in a unified system. It's designed for large enterprises needing comprehensive model lifecycle management” Mistral Small · comparative prompt · first choice
“A comprehensive enterprise platform from IBM... Credo AI and IBM shine for audits, policies, and regulatory mapping” Grok 4.20 · comparative prompt · first choice
“Choose IBM if you want a governance product that is more explicitly packaged for AI governance.” GPT-5.4 mini · paraphrase prompt · first choice
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.