Index › GTM › Sales › Dialers › Dialpad vs Aircall
Sales dialers and calling · November 2026 Edition

Dialpad vs Aircall

Zero of fourteen models named Dialpad first on the direct prompt; zero named Aircall. Dialpad was named by nine of the fourteen models and Aircall by fourteen and Dialpad carries 17 labels and Aircall 34, so the shares are not directly comparable.

Dialpad

accepted challenger

United States, founded 2014. Named in five categories this edition.

Aircall

accepted challenger

By Q109016663, Paris, founded 2014. Named in six categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate24%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 11; printed, not drawn.
Labels1734A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Dialpad reading right to left. Rank and label count are printed, not drawn.CloudTalk was named alongside these two in eight of the fourteen direct answers. CloudTalk vs Dialpad · CloudTalk vs Aircall · Orum vs Dialpad

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 sales dialers and calling page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DialpadFirst choices, of fourteen modelsAircall
Direct001 against Dialpad · 1 against Aircall
Paraphrase011 against Aircall
Comparative10
Budget-constrained201 against Dialpad
Scale-constrained00
Negative002 against Dialpad · 2 against Aircall
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 Dialpad and Aircall 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
Dialpad Aircall first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dialpad on the left and Aircall on the right.

The direct prompt

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

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Aloware Power Dialer alternatives: Aircall, CloudTalk, JustCall, Salesfinity
Gemini 3.5 FlashOrum alternatives: Aloware, Dialpad, Kixie PowerCall, Nooks, PhoneBurner
Mistral SmallClose alternatives: Aircall, CloudTalk, Kixie PowerCall
Qwen 3.7 FlashClose alternatives: Aircall, Kixie PowerCall, Koncert

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniNooks, Orum alternatives: Salesloft Dialer
Perplexity SonarCloudTalk alternatives: Fastcall, HubSpot Call Tracker, JustCall, Nooks, Orum, PhoneBurner, SmartDialer
Grok 4.20Kixie PowerCall alternatives: CallHippo, Close
DeepSeek V4 FlashKixie PowerCall alternatives: Close, CloudTalk, FreJun, JustCall
Llama 4 Maverickno first choice
Kimi K2Orum alternatives: Close, CloudTalk, JustCall, Koncert
GLM 4.7 FlashXKixie PowerCall alternatives: Aloware, CallHippo, Close, CloudTalk, JustCall, Revenue.io
MiniMax M2.5CallHippo, Kixie PowerCall alternatives: Close, CloudTalk, Nooks AI
GPT-6 LunaOrum alternatives: Nooks, Salesloft Dialer
Muse Glimmer 30BCloudTalk alternatives: Aloware Power Dialer, JustCall, Nooks AI

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
Level: the same share of first choices.
Dialpad4%#6 of 10
Aircall4%#5 of 10
The full small business standing →
Mid-marketThe figures above
Dialpad leads by two points.
Dialpad4%#5 of 11
Aircall2%#7 of 11
The full mid-market standing →
Enterprise
Dialpad leads by two points.
Dialpad2%#8 of 16
Aircall0%#14 of 16
The full enterprise standing →

What the models said about Dialpad

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

“Dialpad has steep pricing plans with the most advanced features only available on the highest-tier plan” Claude Haiku 4.5 · negative prompt · soft negative
“their power dialers are locked behind higher-tier plans (e.g., Dialpad Sell starting at ~$95/mo)” Gemini 3.5 Flash · budget prompt · soft negative
“Verdict: Cautious; better for general phone systems than high-volume cold calling.” DeepSeek V4 Flash · negative prompt · soft negative
“Or go with Dialpad — $15/user/month gives you the most features per dollar” GLM 4.7 FlashX · budget prompt · first choice
“For a limited-budget company, Dialpad Sell is the best starting point” Perplexity Sonar · budget prompt · first choice
“Dialpad (AI-native)” Claude Haiku 4.5 · comparative prompt · first choice

What the models said about Aircall

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

“often cited as "overpriced legacy tech" with outdated interfaces and glitchy calling experiences. They are not recommended for predictable cost at scale” Mistral Small · negative prompt · hard negative
“Best balanced pick for most mid-sized B2B teams: Aircall” GPT-5.4 mini · paraphrase 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.