# Orum vs Aircall: which do AI models recommend for dialers, September 2026

GTM AI Recommendation Index, September 2026 Edition, Sales dialers and calling. Two of twelve models named Orum first on the direct prompt; zero named Aircall. Page: https://gtm-ai-index.com/sales/sales-dialers-and-calling/orum-vs-aircall/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Orum | 7% | #6 of 12 | 22% | 37 | 12 of 12 |
| Aircall | 7% | #7 of 12 | 14% | 29 | 12 of 12 |

## The direct prompt, model by model

- Gemini 3.5 Flash: orum first (first choices: Nooks, Orum) (alternatives: Aloware, Kixie, PhoneBurner)
- DeepSeek V4 Flash: orum first (first choices: Nooks, Orum) (alternatives: Aloware, JustCall, Kixie, PhoneBurner)
- Claude Haiku 4.5: neither first, one named (first choices: Aloware Power Dialer, CloudTalk) (alternatives: Nooks, Orum, PhoneBurner, SmartDialer)
- GPT-5.4 mini: neither first, one named (first choices: Salesloft) (alternatives: Klenty, Nooks, Orum, Regie.ai)
- Perplexity Sonar: neither first, one named (first choices: Aloware) (alternatives: CloudTalk, JustCall, Kixie, Nooks, Orum)
- Grok 4.1 Fast: neither first, one named (first choices: Aloware, Kixie) (alternatives: CloudTalk, JustCall, Nooks, Orum)
- Mistral Small: neither first, one named (first choices: Aloware) (alternatives: CloudTalk, Nooks, Orum, Skipcall)
- Llama 4 Maverick: neither first, one named (first choices: Aloware) (alternatives: Orum)
- Qwen 3.7 Flash: neither first, one named (first choices: Dialer.ai) (alternatives: Aircall, Kixie, Outreach, Salesloft, Seismic)
- Kimi K2: neither first, one named (first choices: Aloware) (alternatives: Aircall, Dialpad, Salesfinity)
- MiniMax M2.5: neither first, one named (first choices: Aloware) (alternatives: JustCall, Kixie, Orum)
- GLM 4.7 FlashX: neither named (first choices: JustCall) (alternatives: CloudTalk, Dialpad)

## What the models said about Orum

- "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)

## What the models said about Aircall

- "Biggest concerns: Aggressive auto-renewal, unreliable call logging, and poor outbound dialing features." (DeepSeek V4 Flash, negative prompt, hard negative)
- "Aircall's power dialer needs the $70 Professional plan, not the $30 Essentials plan" (DeepSeek V4 Flash, budget prompt, soft negative)
- "Easy setup and strong integrations, but less focused on high-concurrency dialing" (Perplexity Sonar, comparative prompt, soft negative)
- "my default recommendation would be Aircall if you want the best balance of ease of use, CRM integration, and fast rollout" (GPT-5.4 mini, paraphrase prompt, first choice)
- "The Best All-Rounder: Aircall ... widely considered the gold standard for mid-sized companies" (Qwen 3.7 Flash, paraphrase prompt, first choice)
- "Aircall: Best for cloud-based outbound calling and suitable for mid-market companies." (Llama 4 Maverick, paraphrase prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.