Eight of fourteen models named Checkr first on the direct prompt; one named Sterling. Checkr was named by fourteen of the fourteen models and Sterling by thirteen and Checkr carries 48 labels and Sterling 25, so the shares are not directly comparable.
Named in two categories 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 background screening page.
Across every category in the October 2026 Edition, Checkr and Sterling were named in the same answer sixty-eight times, of the 164 answers naming Checkr and the 93 naming Sterling. In those answers Sterling took the first choice four times and Checkr twenty.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Checkr is the most frequently sued background check company” Claude Haiku 4.5 · negative prompt · hard negative
“466 complaints in 3 years ... often about delays, errors, or unresolved issues in employment screening” Grok 4.1 Fast · negative prompt · soft negative
“Checkr has faced a sharp spike in CFPB complaints and numerous class-action lawsuits” Gemini 3.5 Flash · negative prompt · soft negative
“Market leader for high-volume / tech and gig hiring. "the best background check tools for recruiters in 2026 are Checkr (market leader with 120,000+ customers and AI-powered workflows)"” Muse Glimmer 30B · comparative prompt · first choice
“Checkr excels in speed/tech integrations; ... Fast (AI-powered), scalable for high-volume/gig economy, 200+ ATS integrations” Grok 4.1 Fast · comparative prompt · first choice
“API-first architecture — one of the most technically advanced platforms... Checkr for its API-first speed and automation” DeepSeek V4 Flash · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Trustpilot reviews highlight disorganization, incompetence, extremely slow turnaround times (weeks/months), poor customer support” GLM 4.7 FlashX · negative prompt · hard negative
“$4.75 million FCRA class action settlement for providing outdated information to employers” DeepSeek V4 Flash · negative prompt · hard negative
“Recently sued in 2024 for allegedly falsely reporting criminal history and arrest warrants” MiniMax M2.5 · negative prompt · hard negative
“Stick with well-established, accredited providers like Sterling, HireRight, GoodHire, or TransUnion SmartMove” Mistral Small · negative prompt · first choice
“Sterling (now part of First Advantage) \u2013 Strongest fit for mid-market B2B.” Grok 4.1 Fast · direct prompt · first choice
“Best for: Large enterprises needing comprehensive health screenings - Limitations: Quote-based pricing” Kimi K2 · 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.