Whistlelink vs AllVoices
Seven of fourteen models named Whistlelink first on the direct prompt; one named AllVoices. Whistlelink was named by fourteen of the fourteen models and AllVoices by eight and Whistlelink carries 36 labels and AllVoices 15, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories 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
WhistlelinkFirst choices, of fourteen modelsAllVoices
Across every category in the November 2026 Edition, Whistlelink and AllVoices were named in the same answer twenty-one times, of the 107 answers naming Whistlelink and the 41 naming AllVoices. In those answers AllVoices took the first choice one time and Whistlelink six.
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 | | |
Whistlelink AllVoices first choice named as an alternative argued againstblank: not namedEach cell is one answer, Whistlelink on the left and AllVoices on the right.The direct prompt
Whistlelink first, AllVoices an alternative
7 of 14 modelsAllVoices was named in the answer but not as the choice, or not at all.AllVoices first, Whistlelink an alternative
1 of 14 modelsWhistlelink was named in the answer but not as the choice, or not at all.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.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
Whistlelink22%#1 of 10AllVoices0%#6 of 10Whistlelink27%#1 of 13AllVoices4%#6 of 13Whistlelink7%#3 of 13AllVoices0%#– of 13What the models said about Whistlelink
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Choose platforms that are recognized for strong encryption, two-way anonymous dialogue, and independent third-party hosting—such as Whistlelink” DeepSeek V4 Flash · negative prompt · first choice
“with a score of 9.3 out of 10 and medium confidence, it is considered one of the top ethics hotline providers for mid-sized companies” Llama 4 Maverick · paraphrase prompt · first choice
“Whistlelink and SpeakUp are the top recommendations due to their strong feature sets, ease of use, and high user ratings.” Mistral Small · direct prompt · first choice
What 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
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.