Qapita vs Ledgy
Three of fourteen models named Qapita first on the direct prompt; zero named Ledgy. Qapita was named by twelve of the fourteen models and Ledgy by thirteen and Qapita carries 29 labels and Ledgy 39, so the shares are not directly comparable.
Named in one category 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 cap table management page.
By framing
QapitaFirst choices, of fourteen modelsLedgy
Across every category in the October 2026 Edition, Qapita and Ledgy were named in the same answer forty-one times, of the 70 answers naming Qapita and the 109 naming Ledgy. In those answers Ledgy took the first choice one time and Qapita three.
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 | | | |
Qapita Ledgy first choice named as an alternative argued againstblank: not namedEach cell is one answer, Qapita on the left and Ledgy on the right.The direct prompt
Qapita first, Ledgy an alternative
3 of 14 modelsLedgy was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 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 Qapita
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“recurring mentions of technical issues, limited customization, and complex reporting” Claude Haiku 4.5 · negative prompt · soft negative
“Qapita is a top recommendation due to its strong mid-market focus, ease of use, and comprehensive features” Mistral Small · paraphrase prompt · first choice
“Qapita stands out as the best overall choice due to its scalability, automation, and global capabilities.” Mistral Small · direct prompt · first choice
“Qapita — Best Overall for Mid-Market ... Go with Qapita or Cake Equity” MiniMax M2.5 · direct prompt · first choice
What the models said about Ledgy
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Historic data setup can take effort and some users find complex funding round modeling less intuitive” Claude Haiku 4.5 · negative prompt · soft negative
“starts at €75/month, but is often a better fit for European/international companies” GPT-5.4 mini · budget prompt · soft negative
“Shortlist 3–5: Demo Carta, Ledgy, and 1–2 others matching your location/equity needs.” Grok 4.1 Fast · scale prompt · first choice
“these international-first platforms offer superior localized tax and legal compliance automation compared to US-centric platforms” Gemini 3.5 Flash · scale prompt · alternative
“they're flagged more than leaders like Ledgy or Fidelity Private Shares ... For growth, Ledgy (EU/international)” Grok 4.1 Fast · negative prompt · alternative
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.