GTM AI Index
Index Sales Dialers › Allo vs Orum
Sales dialers and calling · September 2026 Edition

Allo vs Orum

Zero of twelve models named Allo first on the direct prompt; two named Orum. Allo was named by eleven of the twelve models and Orum by twelve and Allo carries 12 labels and Orum 37, so the shares are not directly comparable.

Allo

accepted challenger

Named in one category this edition.

Orum

accepted challenger

Named in two categories this edition.

First-choice share14%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%22%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 12; printed, not drawn.
Labels1237A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Allo reading right to left. Rank and label count are printed, not drawn.Aloware was named alongside these two in eight of the twelve direct answers. Aloware vs Allo · Aloware vs Orum · CloudTalk vs Allo

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 sales dialers and calling page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
AlloFirst choices, of twelve modelsOrum
Direct021 against Orum
Paraphrase011 against Orum
Comparative02
Budget-constrained602 against Orum
Scale-constrained00
Negative114 against Orum
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Allo and Orum stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Allo Orum first choice named as an alternative argued againstblank: not namedEach cell is one answer, Allo on the left and Orum on the right.

The direct prompt

The plain question, one answer per model, grouped by where Allo and Orum stood in it.

Orum first, Allo not the choice

2 of 12 modelsAllo was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashNooks, Orum alternatives: Aloware, Kixie, PhoneBurner
DeepSeek V4 FlashNooks, Orum alternatives: Aloware, JustCall, Kixie, PhoneBurner

Neither was the first choice, one was named

7 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Aloware Power Dialer, CloudTalk alternatives: Nooks, Orum, PhoneBurner, SmartDialer
GPT-5.4 miniSalesloft alternatives: Klenty, Nooks, Orum, Regie.ai
Perplexity SonarAloware alternatives: CloudTalk, JustCall, Kixie, Nooks, Orum
Grok 4.1 FastAloware, Kixie alternatives: CloudTalk, JustCall, Nooks, Orum
Mistral SmallAloware alternatives: CloudTalk, Nooks, Orum, Skipcall
Llama 4 MaverickAloware alternatives: Orum
MiniMax M2.5Aloware alternatives: JustCall, Kixie, Orum

Neither was named

3 of 12 modelsThe answer made no first choice from these two in this category.
Qwen 3.7 FlashDialer.ai alternatives: Aircall, Kixie, Outreach, Salesloft, Seismic
Kimi K2Aloware alternatives: Aircall, Dialpad, Salesfinity
GLM 4.7 FlashXJustCall alternatives: CloudTalk, Dialpad

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
Allo leads by fourteen points.
Allo14%#4 of 9
Orum0%#9 of 9
The full small business standing →
Mid-marketThe figures above
Allo leads by seven points.
Allo14%#4 of 12
Orum7%#6 of 12
The full mid-market standing →
Enterprise
Allo is not named for this buyer.
Orum7%#6 of 17
Allonot named
The full enterprise standing →

What the models said about Allo

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

“these dialers are generally more reliable: - Allo (4.7/5 on G2, single-line progressive, transparent pricing at $45/user)” DeepSeek V4 Flash · negative prompt · first choice
“Allo is the best overall value — a genuine power dialer starting at $32/user/month” DeepSeek V4 Flash · budget prompt · first choice
“Allo stands out as one of the best sales dialers (specifically a power/progressive dialer)” Grok 4.1 Fast · budget prompt · first choice

What the models said about Orum

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

“Orum charges $250 per user per month with a minimum of 3 users ... users already call it overpriced. Additionally, there are complaints about software bugs, dropped calls, poor audio quality” Claude Haiku 4.5 · negative prompt · hard negative
“Nooks & Orum (Parallel Dialers) Biggest concerns: The structural "dead air" problem, spam flagging, and rapidly declining connect rates.” DeepSeek V4 Flash · negative prompt · hard negative
“Enterprise-focused, not budget-friendly” Kimi K2 · budget prompt · hard negative
“JustCall, Skipcall, Orum | Power + parallel dialing, better compliance tools” Kimi K2 · negative prompt · first choice
“Funded, high-volume SDR org → Orum (volume) or Nooks (coaching + virtual salesfloor).” DeepSeek V4 Flash · direct prompt · first choice
“#### 1. Orum ... Best for: High-volume B2B tech and enterprise SDR/BDR teams.” Gemini 3.5 Flash · comparative prompt · first choice
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.