Boardable vs Diligent Boards
Zero of fourteen models named Boardable first on the direct prompt; one named Diligent Boards. Boardable was named by fourteen of the fourteen models and Diligent Boards by thirteen and both carry 40 labels, so the shares below are directly comparable.
Named in three categories this edition.
Named in three 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 board and investor reporting page.
By framing
BoardableFirst choices, of fourteen modelsDiligent Boards
Across every category in the October 2026 Edition, Boardable and Diligent Boards were named in the same answer 136 times, of the 207 answers naming Boardable and the 301 naming Diligent Boards. In those answers Diligent Boards took the first choice twenty-seven times and Boardable thirty-one.
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 4.1 Fast | | | | | | |
| 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 | | | | |
Boardable Diligent Boards first choice named as an alternative argued againstblank: not namedEach cell is one answer, Boardable on the left and Diligent Boards on the right.The direct prompt
Diligent Boards first, Boardable an alternative
1 of 14 modelsBoardable was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 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
Boardable10%#3 of 8Diligent Boards0%#8 of 8Boardable13%#2 of 8Diligent Boards2%#6 of 8Diligent Boards30%#1 of 7Boardable0%#7 of 7What the models said about Boardable
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“A popular low-cost option for nonprofits, but it has a critical blind spot” DeepSeek V4 Flash · negative prompt · soft negative
“Budget-friendly ... but better suited to smaller nonprofits.” DeepSeek V4 Flash · scale prompt · soft negative
“The best board reporting software for a company with a limited budget is Boardable, which is purpose-built for nonprofit boards at $20.99 per user per month.” Llama 4 Maverick · budget prompt · first choice
“Recommendation: Start with Boardable if you need polished reporting features without breaking the bank—it's the most accessible for limited budgets” Grok 4.1 Fast · budget prompt · first choice
“For most companies with a limited budget, Boardable offers the best balance of features, pricing transparency, and ease of use.” GLM 4.7 FlashX · budget prompt · first choice
What the models said about Diligent Boards
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Industry-standard governance platform with AI-powered meeting summaries... If you're a large public company needing full GRC: → Diligent” DeepSeek V4 Flash · comparative prompt · first choice
“Best for: Enterprise governance and secure board portals ... Strengths: Strong security, comprehensive governance features” Kimi K2 · comparative 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.