| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Candidate assessment | Talent acquisition | 52% | 1 of 118 | 11% | 53 | endorsed leader | ▼−18Since September 2026: 68% → 50%, −18 points. Past the 13-point floor: movement. Read over the models both editions asked. |
| Technical hiring assessments | Talent acquisition | 10% | 5 of 71 | 32% | 28 | criticized challenger | ▲+5Since September 2026: 5% → 10%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Skills intelligence | Performance and talent management | 0% | 33 of 127 | 0% | 4 | under 10 labels · led by Skills Base at 18% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| AI recruiting assistants | Talent acquisition | 0% | 51 of 90 | 0% | 1 | under 10 labels · led by Manatal at 31% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Candidate assessment | 68% | 50% | ▼−18Since September 2026: 68% → 50%, −18 points. Past the 13-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 1 of 118, unchanged |
| Technical hiring assessm | 5% | 10% | ▲+5Since September 2026: 5% → 10%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 6 → 5 of 71 |
| Skills intelligence | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 25 → 33 of 127 |
| AI recruiting assistants | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 29 → 51 of 90 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 2 | 0 | 0 | 4 |
| GPT-5.4 mini | 3 | 1 | 0 | 1 | 5 |
| Gemini 3.5 Flash | 2 | 1 | 1 | 3 | 7 |
| Perplexity Sonar | 2 | 3 | 2 | 1 | 8 |
| Grok 4.1 Fast | 3 | 2 | 1 | 1 | 7 |
| Mistral Small | 2 | 1 | 1 | 2 | 6 |
| DeepSeek V4 Flash | 4 | 1 | 2 | 0 | 7 |
| Llama 4 Maverick | 1 | 2 | 0 | 1 | 4 |
| Qwen 3.7 Flash | 3 | 1 | 0 | 1 | 5 |
| Kimi K2 | 3 | 4 | 1 | 3 | 11 |
| GLM 4.7 FlashX | 5 | 1 | 1 | 2 | 9 |
| MiniMax M2.5 | 2 | 1 | 0 | 0 | 3 |
| GPT-6 Luna | 2 | 2 | 0 | 0 | 4 |
| Muse Glimmer 30B | 4 | 1 | 1 | 0 | 6 |
Verbatim evidence the judge attached to positive labels.
“HackerEarth and TestGorilla stand out for their balance of features, pricing accessibility, and ATS integration compatibility without requiring full enterprise implementations.” Claude Haiku 4.5 · Technical hiring assessm · direct prompt · first choice
“The Best All-Rounder: TestGorilla ... arguably the best on the market for offering a mix of cognitive ability, culture add, and role-specific skills” Qwen 3.7 Flash · Candidate assessment · paraphrase prompt · first choice
“For most mid-sized B2B companies, TestGorilla offers the best balance of test breadth, pricing flexibility, and ease of deployment.” DeepSeek V4 Flash · Candidate assessment · paraphrase prompt · first choice
“If you need zero upfront cost: start with TestGorilla’s free plan or LeetCode’s free problem bank for initial screening” Muse Glimmer 30B · Technical hiring assessm · budget prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Why Avoid: If you have a limited budget or require responsive technical support, this platform may lead to frustration.” GLM 4.7 FlashX · Candidate assessment · negative prompt · hard negative
“TestGorilla-style general testing platforms when your need is deep technical screening, because they are broader assessment suites rather than specialized developer tools.” Perplexity Sonar · Technical hiring assessm · negative prompt · soft negative
“While widely used and effective for skills testing, some candidates complain about the quality of "Soft Skills" or "Culture Add" multiple-choice questions.” Qwen 3.7 Flash · Candidate assessment · negative prompt · soft negative
“Some candidate feedback highlights poor question quality (broken English, unclear phrasing), unexpected subscription charges post-use” Grok 4.1 Fast · Candidate assessment · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 253 of the 265 answers that named TestGorilla and are not a share of its labels.
626 of the 775 domain citations in answers naming TestGorilla came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What TestGorilla's own pages state, read September 28, 2026: testgorilla.com, trust.testgorilla.com. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when TestGorilla's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as TestGorilla, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for TestGorilla by email, built from the raw record of the edition. It shows:
AI models recommend TestGorilla first in Candidate assessment this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.