Whistleblower Software vs Whispli
Three of fourteen models named Whistleblower Software first on the direct prompt; one named Whispli. Whistleblower Software was named by eight of the fourteen models and Whispli by seven and Whistleblower Software carries 17 labels and Whispli 13, so the shares are not directly comparable.
Named in one category 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
Whistleblower SoftwareFirst choices, of fourteen modelsWhispli
Across every category in the November 2026 Edition, Whistleblower Software and Whispli were named in the same answer twenty-one times, of the 61 answers naming Whistleblower Software and the 49 naming Whispli. In those answers Whispli took the first choice one time and Whistleblower Software five.
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 |
Whistleblower Software Whispli first choice named as an alternative argued againstblank: not namedEach cell is one answer, Whistleblower Software on the left and Whispli on the right.The direct prompt
Whistleblower Software first, Whispli an alternative
3 of 14 modelsWhispli was named in the answer but not as the choice, or not at all.Whispli first, Whistleblower Software not the choice
1 of 14 modelsWhistleblower Software was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 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
Whistleblower Software10%#4 of 10Whispli0%#9 of 10Whistleblower Software12%#2 of 13Whispli4%#7 of 13Whistleblower Software2%#10 of 13Whispli2%#8 of 13What the models said about Whistleblower Software
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“More expensive than the cheapest options” Perplexity Sonar · budget prompt · soft negative
“Best for EU and international mid-market companies that need a GDPR-aware whistleblowing system with clear pricing, starting from ~€70/month” Claude Haiku 4.5 · direct prompt · first choice
“Strong for EU compliance, anonymous workflows, case management. Often praised for simplicity and global reach. Good for mid-sized firms.” Grok 4.20 · scale prompt · first choice
“My top recommendation overall for a company with a limited budget would be Whistleblower Software (Formalize) at €99/month” DeepSeek V4 Flash · budget 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.