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Cap table management · November 2026 Edition

Fidelity Private Shares vs Qapita

Zero of fourteen models named Fidelity Private Shares first on the direct prompt; one named Qapita. Fidelity Private Shares was named by twelve of the fourteen models and Qapita by twelve and Fidelity Private Shares carries 17 labels and Qapita 25, so the shares are not directly comparable.

Fidelity Private Shares

accepted challenger

Named in one category this edition.

Qapita

accepted challenger

Named in one category this edition.

First-choice share5%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%4%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 11; printed, not drawn.
Labels1725A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Fidelity Private Shares reading right to left. Rank and label count are printed, not drawn.Carta Equity was named alongside these two in thirteen of the fourteen direct answers. Carta Equity vs Fidelity Private Shares · Carta Equity vs Qapita · Eqvista vs Fidelity Private Shares

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Fidelity Private SharesFirst choices, of fourteen modelsQapita
Direct011 against Qapita
Paraphrase00
Comparative00
Budget-constrained30
Scale-constrained01
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 Fidelity Private Shares and Qapita 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
Fidelity Private Shares Qapita first choice named as an alternative argued againstblank: not namedEach cell is one answer, Fidelity Private Shares on the left and Qapita on the right.

The direct prompt

The plain question, one answer per model, grouped by where Fidelity Private Shares and Qapita stood in it.

Qapita first, Fidelity Private Shares not the choice

1 of 14 modelsFidelity Private Shares was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Qapita alternatives: Cake Equity, Pulley, Shareworks

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarCarta Equity alternatives: Ledgy, Qapita, Shareworks
DeepSeek V4 FlashCarta Equity alternatives: Ledgy, Qapita
Kimi K2Carta Equity alternatives: Ledgy, Qapita
GLM 4.7 FlashXCarta Equity alternatives: AngelList Stack, Capboard, Fidelity Private Shares, Ledgy, Pulley, Walter
MiniMax M2.5Carta Equity, EquityList alternatives: Ledgy, Qapita
GPT-6 LunaCarta Equity alternatives: Fidelity Private Shares, Shareworks

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniCarta Equity alternatives: Eqvista, Ledgy, Pulley
Gemini 3.5 FlashCarta Equity alternatives: Ledgy, Pulley, Shareworks
Grok 4.20Carta Equity alternatives: EquityList, Ledgy
Mistral SmallCarta Equity, Ledgy alternatives: EquityList
Llama 4 MaverickCarta Equity
Qwen 3.7 FlashCarta Equity, Ledgy alternatives: Pulley
Muse Glimmer 30BCarta Equity alternatives: Ledgy, Morgan Stanley at Work Shareworks

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
Fidelity Private Shares leads by five points.
Fidelity Private Shares5%#5 of 12
Qapita0%#10 of 12
The full small business standing →
Mid-marketThe figures above
Fidelity Private Shares leads by two points.
Fidelity Private Shares5%#5 of 11
Qapita4%#6 of 11
The full mid-market standing →
Enterprise
The order flips: Qapita leads at enterprise.
Qapita9%#4 of 10
Fidelity Private Shares0%#– of 10
The full enterprise standing →

What the models said about Fidelity Private Shares

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

“Fidelity Private Shares is the best free cap table tool for most early-stage founders in 2026” Muse Glimmer 30B · budget prompt · first choice
“For most early-stage founders, Fidelity Private Shares is the best free option” Mistral Small · budget prompt · first choice
“### 1. Fidelity Private Shares (Best Overall Free Option)” GLM 4.7 FlashX · budget prompt · first choice

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.

“Budget-friendly starters ... but they may lack depth for complex mid-market needs compared to Carta” Grok 4.20 · direct prompt · soft negative
“enterprise-focused solutions like Carta, Qapita, or Morgan Stanley's Shareworks” GLM 4.7 FlashX · scale prompt · first choice
“Qapita stands out specifically for mid-market companies.” Claude Haiku 4.5 · direct prompt · first choice
“If budget is a primary constraint, Qapita offers strong core functionality at a more accessible price point.” MiniMax M2.5 · direct prompt · alternative
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.