Firmex vs FirmRoom
Zero of fourteen models named Firmex first on the direct prompt; one named FirmRoom. Firmex was named by fourteen of the fourteen models and FirmRoom by thirteen and Firmex carries 51 labels and FirmRoom 25, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 modelsFirmRoom
Across every category in the November 2026 Edition, Firmex and FirmRoom were named in the same answer twenty-eight times, of the 126 answers naming Firmex and the 62 naming FirmRoom. In those answers FirmRoom took the first choice three times and Firmex 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 4.20 | | | | | | |
| 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 FirmRoom first choice named as an alternative argued againstblank: not namedEach cell is one answer, Firmex on the left and FirmRoom on the right.The direct prompt
FirmRoom first, Firmex not the choice
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
11 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
Firmex10%#3 of 13FirmRoom6%#5 of 13FirmRoom4%#7 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 FirmRoom
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“issues with emails going to spam, no direct link sharing, files not opening properly, incomplete indexes” Grok 4.20 · negative prompt · soft negative
“My top pick: FirmRoom offers the best balance of M&A-specific features, transparent flat-rate pricing, and ease of use” Kimi K2 · paraphrase prompt · first choice
“SecureDocs and FirmRoom are the top recommendations for companies with a limited budget” Mistral Small · budget prompt · first choice
“FirmRoom is widely regarded as the best overall Virtual Data Room (VDR)” Qwen 3.7 Flash · direct 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.