Firmex vs Ansarada
Zero of fourteen models named Firmex first on the direct prompt; one named Ansarada. Both were named by all fourteen models and Firmex carries 51 labels and Ansarada 36, 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 virtual data rooms page.
By framing
FirmexFirst choices, of fourteen modelsAnsarada
Across every category in the November 2026 Edition, Firmex and Ansarada were named in the same answer sixty-nine times, of the 126 answers naming Firmex and the 98 naming Ansarada. In those answers Ansarada took the first choice three times and Firmex two.
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 4.20 | | | | | | |
| 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 | | | |
Firmex Ansarada first choice named as an alternative argued againstblank: not namedEach cell is one answer, Firmex on the left and Ansarada on the right.The direct prompt
Ansarada first, Firmex an alternative
1 of 14 modelsFirmex was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
10 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
Ansarada5%#6 of 11Firmex2%#8 of 11What the models said about Firmex
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: High-end options like DealRoom ($1,295+/mo), Firmex, or Ansarada” Grok 4.20 · budget prompt · hard negative
“Mixed feedback—praised for ease and reporting but dinged for outdated look/feel, limited dropdown/admin controls” Grok 4.20 · negative prompt · soft negative
“No native AI capabilities, dated reporting layer, opaque quote-based pricing, still somewhat expensive” Kimi K2 · negative prompt · soft negative
“Mid-market & High Efficiency (Predictable pricing, fast setup):* iDeals, Firmex, Ansarada, ShareVault” Gemini 3.5 Flash · scale prompt · first choice
“I'd shortlist Firmex first for a mid-sized B2B company running a typical sell-side M&A process” GPT-6 Luna · paraphrase prompt · first choice
“the best virtual data room (VDR) for a company with a limited budget is Firmex” GLM 4.7 FlashX · budget prompt · first choice
What the models said about Ansarada
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Avoid: ... Ansarada (often $244+ but scales up quickly)” Grok 4.20 · budget prompt · hard negative
“Likely harder to justify if the process is straightforward” Perplexity Sonar · paraphrase prompt · soft negative
“Mid-market & High Efficiency (Predictable pricing, fast setup):* iDeals, Firmex, Ansarada, ShareVault” Gemini 3.5 Flash · scale prompt · first choice
“iDeals and Ansarada are the top recommendations” Mistral Small · direct prompt · first choice
“better if you prioritize advanced AI features (Ansarada) or enterprise-grade controls over cost/simplicity” Grok 4.20 · paraphrase 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.