Candidate assessment for enterprise buyers
Asked as “pre-employment assessment platform”, and as “skills testing tool for hiring”, on behalf of an enterprise B2B company. 45 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
20%
Contested · iMocha 16%
20SHL16iMocha13Criteria Corp51others
20% of first choices, contested.
Since September 2026▼−4Since September 2026: 24% → 20%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.SHL held the lead, −4 points on 24%, inside the 13-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
TestGorilla76%Clear leader▲+5Since September 2026: 71% → 76%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketTestGorilla52%Clear leader▼−18Since September 2026: 68% → 50%, −18 points. Past the 13-point floor: movement. Read over the models both editions asked.Standing →Enterprise
SHL20%Contested▼−4Since September 2026: 24% → 20%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This page
TestGorilla76%Clear leader▲+5Since September 2026: 71% → 76%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketTestGorilla52%Clear leader▼−18Since September 2026: 68% → 50%, −18 points. Past the 13-point floor: movement. Read over the models both editions asked.Standing →EnterpriseSHL20%Contested▼−4Since September 2026: 24% → 20%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01SHL20%11%36accepted challenger▼−4Since September 2026: 24% → 20%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.24% → 20%
SHL20%11%36accepted challenger▼−4Since September 2026: 24% → 20%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.24% → 20%02
iMocha16%5%22accepted challenger▲+7Since September 2026: 8% → 15%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 15%
iMocha16%5%22accepted challenger▲+7Since September 2026: 8% → 15%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 15%03
Criteria Corp13%12%32accepted challenger▼−1Since September 2026: 11% → 10%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 10%
Criteria Corp13%12%32accepted challenger▼−1Since September 2026: 11% → 10%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 10%04
Harver13%17%29accepted challenger▲+7Since September 2026: 5% → 12%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 12%
Harver13%17%29accepted challenger▲+7Since September 2026: 5% → 12%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 12%05TestGorilla9%25%32criticized challenger▲+5Since September 2026: 5% → 10%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 10%
TestGorilla9%25%32criticized challenger▲+5Since September 2026: 5% → 10%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 10%06
HireVue9%25%28criticized challenger▲+7Since September 2026: 3% → 10%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 10%
HireVue9%25%28criticized challenger▲+7Since September 2026: 3% → 10%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 10%07
HackerRank2%14%29accepted challenger=heldSince September 2026: 3% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 2%
HackerRank2%14%29accepted challenger=heldSince September 2026: 3% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 2%08
Mercer | Mettl2%0%20accepted challenger=heldSince September 2026: 3% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 2%
Mercer | Mettl2%0%20accepted challenger=heldSince September 2026: 3% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 2%09
The Predictive Index2%8%13accepted challenger▼−5Since September 2026: 8% → 2%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 2%
The Predictive Index2%8%13accepted challenger▼−5Since September 2026: 8% → 2%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 2%10
Vervoe2%13%15accepted challenger=heldSince September 2026: 3% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 2%
Vervoe2%13%15accepted challenger=heldSince September 2026: 3% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 2%Show the one product at 0%, ordered by negative rate
11
Codility0%16%19accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Codility0%16%19accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%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
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All ten head-to-head pages: the top five products, each against each
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01SHL20%
SHL20%02iMocha16%
iMocha16%03Criteria Corp13%
Criteria Corp13%04Harver13%
Harver13%05TestGorilla9%
TestGorilla9%06HireVue9%
HireVue9%07HackerRank2%
HackerRank2%08Mercer | Mettl2%
Mercer | Mettl2%09The Predictive Index2%
The Predictive Index2%10Vervoe2%
Vervoe2%11Codility0%
Codility0%What they warned about
One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
TestGorilla25%
8 of 32 labels negative · 6 of 14 models · 2 hard negative
“the platform that is most consistently flagged as a caution/avoid for large enterprises is **TestGorilla**” Muse Glimmer 30B, negative prompt
HireVue25%
7 of 28 labels negative · 5 of 14 models · 4 hard negative
“Academics and civil rights organizations have called this approach "pseudoscience" that can introduce racial and gender biases” Kimi K2, negative prompt
Harver17%
5 of 29 labels negative · 4 of 14 models · 2 hard negative
“Platforms to Avoid for Predictable Costs | **Harver/Pymetrics** | Per-administration pricing” Kimi K2, budget prompt
SHL11%
4 of 36 labels negative · 4 of 14 models · 2 hard negative
“Some enterprise platforms, like SHL, have faced criticism for timed assessments, clunky user interfaces, and stressful test experiences” Mistral Small, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
77 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1121 links across 302 sites, every framing counted. Ranked by the number of answers carrying the site or page. 21 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · TestGorilla40 answers · 65 citations · 14 models
vendor site · Testlify35 answers · 55 citations · 11 models
vendor site · AIHR25 answers · 25 citations · 12 models
vendor site · Pin24 answers · 26 citations · 11 models
vendor site · TestTrick23 answers · 24 citations · 10 models
vendor site · FirstHR23 answers · 23 citations · 11 models
vendor site · Guideflow22 answers · 32 citations · 9 models
vendor site · Bryq22 answers · 29 citations · 11 models
20 answers · 20 citations · 9 models
18 answers · 20 citations · 9 models
vendor site · JobCannon17 answers · 23 citations · 8 models
vendor site · G216 answers · 23 citations · 8 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
32 answers · 13 models
25 answers · 10 models
25 answers · 12 models
23 answers · 11 models
20 answers · 9 models
19 answers · 10 models
17 answers · 8 models
15 answers · 9 models
14 answers · 7 models
13 answers · 9 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “assessment platforms”, “best pre-employment assessment platform”, “pre-employment assessment platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| SHL shl.com | 20% | 58 | 6,600 | 1,134 | 102,114 | |||
| iMocha imocha.io | 16% | 96 | 480 | 13 | 7,474 | 22 | ||
| Criteria criteriacorp.com Criteria Corp 13% | 13% | 98 | 2,400 | 39 | 103,671 company | $6,427 | 63 | 3 |
| Harver harver.com | 13% | 53 | 1,300 | 136 | 8,635 | $1,218 | 6 | |
| TestGorilla testgorilla.com | 9% | 253 | 4,400 | 170 | 58,548 | $462 | 76 | |
| HireVue hirevue.com | 9% | 357 | 14,800 | 1,147 | 35,611 | 14 | 2 | |
| Bryq bryq.com | 4% | 36 | 210 | 8 | 32,608 | 2 | ||
| HackerRank hackerrank.com | 2% | 248 | 33,100 | 1,116 | 58,699 | 22 | ||
| Mercer mettl.com Mercer | Mettl 2% | 2% | 42 | 49,500 | 23,681 | 23,566 | |||
| The Predictive Index predictiveindex.com | 2% | 41 | 2,400 | 692 | 181,822 | 32 |
Google's top ten for the three searches hold 18 sites; 2 of them are among the sites the models cited here (aihr.com, testlify.com). The first result for “assessment platforms” is testportal.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best pre-employment assessment platform for an enterprise B2B company?”Paraphrase“Which skills testing tool for hiring would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade assessment platforms and how do they differ?”Budget-constrained“What is the best pre-employment assessment platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a pre-employment assessment platform. What should we look at?”Negative“Which assessment platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceSHL, iMochaChangedSovaBryqagainst: HackerRankno first choicenothing named
Four alternatives
HackerRank, Harver, Mercer | Mettl, Skills BaseFive alternatives
Fuel50, Harver, Mercer | Mettl, Thrive Technology, iMochaTwo alternatives
HireVue, SHLGPT-5.4 miniHireVueagainst: TestGorillaHireVue, SHLChangedSHLagainst: TestGorillaSHL TalentCentralno first choicenothing named
Two alternatives
Mercer | Mettl, SHLTwo alternatives
Codility, HackerRankFive alternatives
Criteria Corp, HireVue, Mercer | Mettl, Proctorio, TalviewGemini 3.5 FlashCriteria Corp, SHLCriteria Corp, iMochaChangedno first choiceCriteria Corpno first choiceagainst: Myers-Briggs Type Indicator
Five alternatives
Canditech, Codility, HackerRank, Harver, The Predictive IndexFour alternatives
CodeSignal, HackerRank, Harver, eSkillSix alternatives
CodeSignal, HackerRank, HireVue, Inspera, Questionmark, SHLThree alternatives
Bryq, The Predictive Index, eSkillPerplexity SonarHarveriMochaChangedno first choiceJobCannonno first choicenothing named
Two alternatives
Greenhouse, TestlifyFive alternatives
Codility, HackerRank, Mercer | Mettl, TestGorilla, eSkillTwo alternatives
Bryq, Criteria CorpGrok 4.1 Fastno first choiceTestGorillaChangedno first choiceBryqagainst: Criteria Corp, HackerRank, Harver, HireVue, The Predictive Index, iMochano first choiceagainst: Codility, Harver, HireVue, TestGorilla, eSkill
Five alternatives
Criteria Corp, Harver, HireVue, Mercer | Mettl, iMochaFour alternatives
Codility, HackerRank, Vervoe, iMochaTwo alternatives
TestGorilla, VervoeMistral SmallHarverTestGorillaChangedHackerRank, SHL Talent AssessmentsHarverno first choiceagainst: HiBob, HireVue, SHL
Three alternatives
Talview, TestGorilla, iMochaTwo alternatives
Infor Talent Science, The Predictive IndexOne alternative
iMochaDeepSeek V4 FlashSHLSHLHeldagainst: TestGorillaSHLHireVueagainst: Canditech, EmployTest, TestGorilla, Vervoeno first choiceagainst: DISC, Myers-Briggs Type Indicator
Four alternatives
Criteria Corp, Harver, HireVue, TestGorillaThree alternatives
HireVue, Mercer | Mettl, iMochaSeven alternatives
CodeSignal, Codility, Criteria Corp, HireVue, Mercer | Mettl, Questionmark, TestGorillaOne alternative
HarverLlama 4 MaverickHarverno first choiceChangedno first choiceno first choiceHackerRankagainst: Criteria Corp, Harver, HireVue, Testlify
Two alternatives
Sigmund, TestGorillaTwo alternatives
HireNest, HireScoreQwen 3.7 FlashHarver, SHLVervoeChangedagainst: Gong, SeismicSHLTalmaticagainst: Criteria Corpno first choiceagainst: Codility, Criteria Corp, HackerRank, SHL, TestGorilla, Vervoe, Workday Talent Management
Three alternatives
HackerRank, Pymetrics, VervoeThree alternatives
HackerRank, SHL, SkillSurveyFour alternatives
HireVue, Talview, TestGorilla, ThriveMapTwo alternatives
TestGorilla, iMochaKimi K2SHLiMochaChangedSHLThe Predictive Indexagainst: Codility, HackerRank, Harver, HireVue, Pymetrics, SHLno first choiceagainst: Aon, HireVue, Workday
Four alternatives
Criteria Corp, Harver, Mercer | Mettl, The Predictive IndexThree alternatives
HackerRank, SHL, SovaFive alternatives
CodeSignal, Criteria Corp, HackerRank, Mercer | Mettl, Pearson VUE ExamDeveloperTwo alternatives
Criteria Corp, WonderlicGLM 4.7 FlashXHireVueiMochaChangedBryqTestGorillaagainst: SHLno first choicenothing named
Six alternatives
Codility, Criteria Corp, HackerRank, Harver, TestGorilla, iMochaTwo alternatives
HackerRank, VervoeTwelve alternatives
Assessment.com, CodeSignal, Codility, Criteria Corp, HackerRank, Harver, SHL, Sova, TestDome, TestGorilla, The Predictive Index, iMochaTwo alternatives
Harver, HireVueMiniMax M2.5Mercer | Mettl, SHLTestGorilla, iMochaChangedno first choiceCriteria Corpagainst: JobCannonno first choiceagainst: Aon, HireVue, Workday
Three alternatives
AssessFirst, Harver, PrevueTwo alternatives
HireVue, The Predictive IndexTwo alternatives
Harver, The Predictive IndexGPT-6 LunaCriteria CorpSHLChangedCriteria Corp, SHLCriteria Corpagainst: TestGorillano first choicenothing named
Three alternatives
HackerRank, Harver, SHLTwo alternatives
Criteria Corp, TestGorillaThree alternatives
HackerRank, HireVue, Mercer | MettlMuse Glimmer 30Bno first choiceiMochaChangedCodility, HackerRankHarverno first choiceagainst: Harver, TestGorilla
Five alternatives
Criteria Corp, HireVue, Mercer | Mettl, SHL, iMochaOne alternative
SHLSeven alternatives
CoderPad, HackerEarth, Mercer | Mettl, SHL, Testlify, Vervoe, eSkillOne alternative
TestGeniusBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:35 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:55 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:08 | yes | 17 | 27 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 07:46 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:08 | yes | 23 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:25 | yes | 13 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:36 | yes | 20 | 31 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:49 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:28 | no | 0 | 35 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:35 | yes | 10 | 33 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:14 | yes | 22 | 65 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:44 | yes | 13 | 29 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:23 | yes | 6 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:57 | yes | 13 | 26 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:33 | yes | 18 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:54 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:21 | yes | 17 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:50 | yes | 19 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:08 | yes | 23 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:33 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:58 | yes | 23 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:52 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:58 | no | 0 | 29 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:02 | yes | 15 | 21 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:41 | yes | 25 | 197 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:58 | yes | 5 | 14 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:21 | yes | 4 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:45 | yes | 22 | 28 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:43 | yes | 15 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:43 | yes | 6 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:55 | yes | 17 | 29 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:27 | yes | 19 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:02 | yes | 22 | 12 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:12 | yes | 8 | 13 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:18 | yes | 25 | 57 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:54 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:59 | yes | 5 | 15 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:45 | yes | 23 | 36 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:06 | yes | 19 | 73 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:40 | yes | 15 | 22 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:18 | yes | 5 | 15 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:38 | yes | 24 | 36 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:44 | yes | 16 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:53 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:17 | yes | 28 | 63 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:20 | yes | 19 | 20 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:44 | yes | 16 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:40 | yes | 10 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:56 | yes | 8 | 47 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:57 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:37 | no | 0 | 27 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:23 | yes | 17 | 27 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:11 | yes | 17 | 40 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:08 | yes | 16 | 57 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:37 | yes | 2 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:56 | yes | 14 | 36 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:08 | yes | 18 | 14 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:52 | yes | 5 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:14 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:30 | yes | 20 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:20 | yes | 18 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:54 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:08 | yes | 24 | 51 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:26 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:45 | no | 0 | 27 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:22 | yes | 15 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:04 | yes | 22 | 111 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:00 | yes | 5 | 19 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:22 | yes | 4 | 22 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:12 | yes | 14 | 20 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:47 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:54 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:02 | yes | 18 | 29 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:39 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:44 | yes | 25 | 12 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:25 | yes | 19 | 10 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:37 | yes | 25 | 46 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:27 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:20 | yes | 13 | 58 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:02 | yes | 24 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:51 | yes | 25 | 36 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:22 | yes | 20 | 52 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:37 | yes | 3 | 16 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:06 | yes | 24 | 32 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
AON Assessment Solutions read as Aon
Criteria read as Criteria Corp
Criteria (GreatPlates) read as Criteria Corp
Criteria (formerly known as Wonderlic) read as Criteria Corp
Hogan read as Hogan Assessments
Unresolved, counted raw
AssessFirst
Assessment.com (MAPP, RoleMatch)
Heroify
HireNest
HireScore
Inspera
Kandio
Kforce/eSkill
Pearson VUE ExamDeveloper
Prevue
SHL Talent Assessments
SHL TalentCentral
Sigmund
SigmundTest / Sigmund
SkillSurvey
Skillrobo
TAO®
Talent Board
Talogy Caliper
TestGenius
Testgrid
Thrive Technology
ThriveMap
Workday Assessments
Discontinued, still offered
No shut-down product was recommended here.