Spark Hire vs Willo
Twelve of twelve models named Spark Hire first on the direct prompt; zero named Willo. Both were named by all twelve models and Spark Hire carries 54 labels and Willo 40, so the shares are not directly comparable.
Named in three categories 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 twelve 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 video interviewing page.
By framing
Spark HireFirst choices, of twelve modelsWillo
Across every category in the September 2026 Edition, Spark Hire and Willo were named in the same answer eighty-five times, of the 160 answers naming Spark Hire and the 104 naming Willo. In those answers Willo took the first choice six times and Spark Hire fourteen.
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 | | | | |
Spark Hire Willo first choice named as an alternative argued againstblank: not namedEach cell is one answer, Spark Hire on the left and Willo on the right.The direct prompt
Spark Hire first, Willo an alternative
12 of 12 modelsWillo was named in the answer but not as the choice, or not at all.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
Spark Hire55%#1 of 9Willo7%#4 of 9What the models said about Spark Hire
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Platforms with Notable Complaints... Spark Hire - Candidate reviews frequently cite... General candidate dissatisfaction described as "dehumanizing"” MiniMax M2.5 · negative prompt · hard negative
“Any one-way video interview platform (Spark Hire, VideoHire, easyHire, interviewstream) | Candidate backlash, no human dialogue” DeepSeek V4 Flash · negative prompt · soft negative
“don't need to spend hundreds of dollars per month on enterprise tools like HireVue or Spark Hire” DeepSeek V4 Flash · budget prompt · soft negative
“For most mid-market B2B companies, Spark Hire is the safest starting point due to its balance of features, price, and ease of use.” Kimi K2 · direct prompt · first choice
“Spark Hire: The Best All-Rounder ... widely considered the standard for mid-market teams that want a balance of power and simplicity.” Qwen 3.7 Flash · direct prompt · first choice
“The Best All-in-One (Async + Live): Spark Hire ... widely considered the gold standard for mid-market talent acquisition” Gemini 3.5 Flash · direct prompt · first choice
What the models said about Willo
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“they suffer from high candidate drop-off rates because job seekers intensely dislike the format” Gemini 3.5 Flash · negative prompt · soft negative
“Hireflix/Willo are solid but very lightweight.” Kimi K2 · direct prompt · soft negative
“Highly recommended for small businesses and tight budgets... start with Willo (best free tier and low-cost plans)” Mistral Small · budget prompt · first choice
“Safer Alternatives (high-rated for experience, per G2/Capterra/Reddit): Truffle, Willo, Hirevire, Hireflix” Grok 4.1 Fast · negative prompt · first choice
“I'd start with Willo if you want a more budget-friendly screening tool” GPT-5.4 mini · budget 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.