AllVoices vs Whispli
One of fourteen models named AllVoices first on the direct prompt; one named Whispli. AllVoices was named by eight of the fourteen models and Whispli by seven and AllVoices carries 15 labels and Whispli 13, so the shares are not directly comparable.
Named in two categories 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 whistleblowing and investigations page.
By framing
AllVoicesFirst choices, of fourteen modelsWhispli
Across every category in the November 2026 Edition, AllVoices and Whispli were named in the same answer thirteen times, of the 41 answers naming AllVoices and the 49 naming Whispli. In those answers Whispli took the first choice zero times and AllVoices zero.
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 |
AllVoices Whispli first choice named as an alternative argued againstblank: not namedEach cell is one answer, AllVoices on the left and Whispli on the right.The direct prompt
AllVoices first, Whispli not the choice
1 of 14 modelsWhispli was named in the answer but not as the choice, or not at all.Whispli first, AllVoices not the choice
1 of 14 modelsAllVoices was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 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
AllVoices0%#6 of 10Whispli0%#9 of 10AllVoices4%#6 of 13Whispli4%#7 of 13What the models said about AllVoices
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Less budget-friendly and primarily US-oriented” Perplexity Sonar · budget prompt · soft negative
“such as WhistleHub, AllVoices, Resolver, or EthicsPoint/Navex” Qwen 3.7 Flash · negative prompt · first choice
“### 1. AllVoices (Best for User Adoption & Modern UI)” Qwen 3.7 Flash · paraphrase prompt · first choice
“1. AllVoices ⭐ Best Overall for Mid-Market” GLM 4.7 FlashX · direct prompt · first choice
What the models said about Whispli
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Whispli – *Best Overall for Modern & User-Friendly Case Management*” Gemini 3.5 Flash · paraphrase prompt · first choice
“request demos from Whispli and FaceUp” Gemini 3.5 Flash · direct prompt · first choice
“Whispli is an enterprise whistleblowing and case-management platform with AI-powered voice intake and transcription” Claude Haiku 4.5 · comparative 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.