Whistlelink vs AllVoices
Zero of fourteen models named Whistlelink first on the direct prompt; zero named AllVoices. Whistlelink was named by thirteen of the fourteen models and AllVoices by nine and Whistlelink carries 30 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 October 2026 Edition, Whistlelink and AllVoices were named in the same answer sixteen times, of the 92 answers naming Whistlelink and the 36 naming AllVoices. In those answers AllVoices took the first choice zero times and Whistlelink three.
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 4.1 Fast | | | | |||
| 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
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
8 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%#2 of 10AllVoices3%#8 of 10Whistlelink13%#2 of 12AllVoices4%#7 of 12Whistlelink4%#7 of 11AllVoices0%#– of 11What the models said about Whistlelink
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“"Cliff pricing". Moving from one headcount band to the next ... can result in a steep jump in monthly costs.” Gemini 3.5 Flash · budget prompt · soft negative
“For most small businesses, Whistlelink and EthicsPoint Essentials are the best balance of affordability, ease of use, and compliance.” Mistral Small · budget prompt · first choice
“Popular options for your scale include FaceUp, Whistlelink, and Vault Platform for their balance of features and affordability.” Grok 4.1 Fast · scale prompt · first choice
“Whistlelink and FaceUp stand out as the best whistleblowing and investigation platforms based on affordability” Grok 4.1 Fast · budget 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. Three of three in this category shown.
“For a standard, tech-forward mid-sized B2B company, AllVoices is the most well-rounded option to build a positive culture of trust.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Top Recommendation: AllVoices ... For most mid-sized B2B companies, I'd start with AllVoices.” Kimi K2 · paraphrase prompt · first choice
“Consider it when employee accessibility and HR workflows are central; validate whether its controls and compliance capabilities fit your program.” GPT-6 Luna · 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.