Willo vs HireVue
Zero of fourteen models named Willo first on the direct prompt; one named HireVue. Both were named by all fourteen models and Willo carries 57 labels and HireVue 55, so the shares are not directly comparable.
Named in four categories this edition.
Named in eleven 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 video interviewing page.
By framing
WilloFirst choices, of fourteen modelsHireVue
Across every category in the November 2026 Edition, Willo and HireVue were named in the same answer eighty-five times, of the 147 answers naming Willo and the 384 naming HireVue. In those answers HireVue took the first choice twenty-nine times and Willo nine.
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 | | | | | | |
Willo HireVue first choice named as an alternative argued againstblank: not namedEach cell is one answer, Willo on the left and HireVue on the right.The direct prompt
HireVue first, Willo not the choice
1 of 14 modelsWillo was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 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
HireVue67%#1 of 7Willo4%#4 of 7What 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.
“not as comprehensive for live interviewing, analytics, or large-scale recruiting ops” GPT-5.4 mini · comparative prompt · soft negative
“Legitimate One-Way / AI Platforms (Approach with Caution)” Gemini 3.5 Flash · negative prompt · soft negative
“Best for: Overall affordability and unlimited candidate screening... Choose Willo or Hireflix for flat-rate, unlimited asynchronous screening” Gemini 3.5 Flash · budget prompt · first choice
“Highly popular for mid-sized companies wanting cost-effective, straightforward async and live video interviewing.” Gemini 3.5 Flash · scale prompt · first choice
“Willo and Spark Hire are the top choices due to their balance of features, scalability, and ease of use” Mistral Small · paraphrase prompt · first choice
What the models said about HireVue
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“The biggest concerns cluster around AI-powered one-way interview platforms (like HireVue and Spark Hire) due to privacy, bias, and data exploitation issues” DeepSeek V4 Flash · negative prompt · hard negative
“Choose HireVue if: You're a large enterprise needing a proven, AI-driven, structured interview platform with deep compliance and audit capabilities.” GLM 4.7 FlashX · comparative prompt · first choice
“HireVue is an enterprise heavyweight built for strict compliance and scale... but it carries enterprise-level pricing and setup requirements.” Gemini 3.5 Flash · comparative prompt · first choice
“Most advanced AI—analyzes speech patterns, body language... AI-driven screening at massive scale | HireVue” Kimi K2 · comparative 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.