Recruiting CRM and sourcing for small business buyers
Asked as “candidate sourcing tool”, and as “recruiting CRM”, on behalf of a small B2B company. 64 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
25%
Contested · Pin 17%
25Manatal17Pin11Zoho Recruit47others
25% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Manatal (22%) replaces Pin (23% then, 18% now), 4 points clear, inside the 13-point floor.Manatal leads at 22%, replacing Pin, which led at 23% and stands at 18% now: 4 points clear, inside the floor, so the swap reads as unsettled.
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
Manatal25%Contested↗new leaderNew leader since September 2026: Manatal (22%) replaces Pin (23% then, 18% now), 4 points clear, inside the 13-point floor.This pageMid-market
Gem15%Contested↗new leaderNew leader since September 2026: Gem (15%) replaces Lever (20% then, 11% now), 4 points clear, inside the 13-point floor.Standing →Enterprise
SeekOut18%Contested↗new leaderNew leader since September 2026: SeekOut (19%) replaces Beamery (20% then, 9% now), 9 points clear, inside the 13-point floor.Standing →
Manatal25%Contested↗new leaderNew leader since September 2026: Manatal (22%) replaces Pin (23% then, 18% now), 4 points clear, inside the 13-point floor.This pageMid-marketGem15%Contested↗new leaderNew leader since September 2026: Gem (15%) replaces Lever (20% then, 11% now), 4 points clear, inside the 13-point floor.Standing →EnterpriseSeekOut18%Contested↗new leaderNew leader since September 2026: SeekOut (19%) replaces Beamery (20% then, 9% now), 9 points clear, inside the 13-point floor.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Manatal25%0%37accepted challenger▲+1Since September 2026: 21% → 22%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.21% → 22%
Manatal25%0%37accepted challenger▲+1Since September 2026: 21% → 22%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.21% → 22%02
Pin17%0%29accepted challenger▼−5Since September 2026: 23% → 18%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.23% → 18%
Pin17%0%29accepted challenger▼−5Since September 2026: 23% → 18%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.23% → 18%03
Zoho Recruit11%0%19accepted challenger=heldSince September 2026: 11% → 11%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 11%
Zoho Recruit11%0%19accepted challenger=heldSince September 2026: 11% → 11%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 11%04
Recruit CRM6%10%10accepted challenger▼−1Since September 2026: 9% → 7%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 7%
Recruit CRM6%10%10accepted challenger▼−1Since September 2026: 9% → 7%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 7%05
Workable5%0%13accepted challenger▲+3Since September 2026: 2% → 5%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 5%
Workable5%0%13accepted challenger▲+3Since September 2026: 2% → 5%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 5%06
LinkedIn Recruiter5%45%31criticized challenger▼−1Since September 2026: 4% → 4%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 4%
LinkedIn Recruiter5%45%31criticized challenger▼−1Since September 2026: 4% → 4%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 4%07
Breezy HR3%0%13accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%
Breezy HR3%0%13accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%08
Juicebox2%5%20accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
Juicebox2%5%20accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%09Gem2%19%16accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Gem2%19%16accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%Show the three products at 0%, ordered by negative rate
12SeekOut0%40%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
SeekOut0%40%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%11
hireEZ0%37%19criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
hireEZ0%37%19criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%10
Loxo0%7%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Loxo0%7%14accepted 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.
Head to head
All twenty-eight head-to-head pages: the top eight products, each against each
Gem vs Zoho RecruitGem vs PinGem vs LinkedIn RecruiterGem vs GreenhouseLever vs ManatalLever vs hireEZLever vs Zoho RecruitLever vs PinLever vs LinkedIn RecruiterLever vs GreenhouseManatal vs hireEZManatal vs Zoho RecruitManatal vs PinManatal vs LinkedIn RecruiterManatal vs GreenhousehireEZ vs Zoho RecruithireEZ vs PinhireEZ vs LinkedIn RecruiterhireEZ vs GreenhouseZoho Recruit vs PinZoho Recruit vs LinkedIn RecruiterZoho Recruit vs GreenhousePin vs LinkedIn RecruiterPin vs GreenhouseLinkedIn Recruiter vs Greenhouse
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 →
010203040506070809101112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Manatal25%
Manatal25%02Pin17%
Pin17%03Zoho Recruit11%
Zoho Recruit11%04Recruit CRM6%
Recruit CRM6%05Workable5%
Workable5%06LinkedIn Recruiter5%
LinkedIn Recruiter5%07Breezy HR3%
Breezy HR3%08Juicebox2%
Juicebox2%09Gem2%
Gem2%10Loxo0%
Loxo0%11hireEZ0%
hireEZ0%12SeekOut0%
SeekOut0%What they warned about
Zero 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, DeepSeek V4 Flash, 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.
LinkedIn Recruiter45%
14 of 31 labels negative · 9 of 14 models · 7 hard negative
“"Tools like LinkedIn Recruiter Corporate ($10,800\u2013$15,000 per seat annually) and hireEZ ... these are overkill and can drain resources"” Muse Glimmer 30B, negative prompt
Coupa100%
6 of 6 labels negative · 6 of 14 models · 6 hard negative
“"Enterprise tools like Coupa, GEP SMART, or Workday are powerful but start at $2,500+/month with long implementations\u2014unsuitable for small B2B."” Muse Glimmer 30B, negative prompt
SAP Ariba100%
6 of 6 labels negative · 6 of 14 models · 6 hard negative
“"What to Avoid: Heavy ERP systems (like SAP Ariba, Oracle NetSuite, or Coupa) when you are still doing manual spreadsheets."” Muse Glimmer 30B, negative prompt
hireEZ37%
7 of 19 labels negative · 6 of 14 models · 2 hard negative
“"and hireEZ ... these are overkill and can drain resources"” Muse Glimmer 30B, 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
73 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. 975 links across 269 sites, every framing counted. Ranked by the number of answers carrying the site or page. 3 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 · Pin43 answers · 127 citations · 12 models
vendor site · Lever42 answers · 47 citations · 12 models
vendor site · Leonar30 answers · 41 citations · 12 models
vendor site · Intervue25 answers · 26 citations · 11 models
24 answers · 35 citations · 12 models
22 answers · 27 citations · 9 models
19 answers · 21 citations · 11 models
15 answers · 20 citations · 11 models
vendor site · Juicebox12 answers · 15 citations · 7 models
12 answers · 13 citations · 7 models
vendor site · HireBasis11 answers · 13 citations · 5 models
vendor site · Gem11 answers · 12 citations · 7 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.
33 answers · 12 models
28 answers · 12 models
25 answers · 10 models
21 answers · 10 models
20 answers · 11 models
16 answers · 10 models
14 answers · 9 models
13 answers · 8 models
12 answers · 8 models
11 answers · 5 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 “best candidate sourcing tool”, “candidate sourcing tool”, “sourcing tools”. 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 |
|---|---|---|---|---|---|---|---|---|
| Manatal manatal.com | 25% | 294 | 2,400 | 267 | 73,150 | 120 | ||
| Pin pin.com | 17% | 199 | 368,000 | 243,385 | 24,375 | 28 | 2 | |
| Zoho zoho.com Zoho Recruit 11% | 11% | 322 | 2,900 | 46 | 1,216,894 company | $51,031 | 119 | |
| Recruit CRM recruitcrm.io | 6% | 113 | 2,400 | 149 | 6,950 | 18 | ||
| Workable workable.com | 5% | 308 | 14,800 | 520 | 698,499 | $14,562 | 77 | 2 |
| LinkedIn parent site LinkedIn Recruiter 5% | 5% | 111 | 11,100,000 | 77,031 | ||||
| Breezy breezy.hr Breezy HR 3% | 3% | 189 | 3,600 | 59 | 178,670 company | $56 | 25 | |
| HubSpot hubspot.com HubSpot CRM 3% | 3% | 7 | 368,000 | 9,776 | 2,276,428 company | $83,922 | 76 | |
| Apollo.io apollo.io | 3% | 13 | 33,100 | 396 | 111,608 | 94 | ||
| Pipedrive pipedrive.com | 3% | 4 | 49,500 | 598 | 418,149 | $55 | 97 |
Google's top ten for the three searches hold 18 sites; 5 of them are among the sites the models cited here (hiretruffle.com, juicebox.ai, peoplemanagingpeople.com, pin.com, selectsoftwarereviews.com). The first result for “best candidate sourcing tool” is hiretruffle.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 candidate sourcing tool for a small B2B company?”Paraphrase“Which recruiting CRM would you recommend to a small business that sells to other businesses?”Comparative“What are the top sourcing tools for a small team and how do they differ?”Budget-constrained“What is the best candidate sourcing tool for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a candidate sourcing tool. What should we look at?”Negative“Which sourcing tools should a small business avoid or be cautious about?”
Claude Haiku 4.5Manatal, Pinagainst: LinkedIn's Recruiter LiteHubSpot CRM, PipedriveChangedPinIndeed, LinkedInno first choiceagainst: Coupa, GEP SMART, SAP Ariba
Two alternatives
Fetcher, GemTwo alternatives
Freshworks CRM, Zoho CRMFour alternatives
Juicebox, Loxo, Manatal, WorkableFour alternatives
Google for Jobs, Greenhouse, Lever, WorkableGPT-5.4 miniZoho RecruitBullhorn, Crelate, VincereChangedLinkedIn RecruiterLinkedIn Recruiteragainst: LinkedIn Recruiterno first choicenothing named
Three alternatives
AvaHR, Breezy HR, SeekOutOne alternative
HubSpot CRMSix alternatives
Ashby, Fetcher, Gem, SeekOut, Workable, hireEZOne alternative
100HiresGemini 3.5 FlashJuicebox, Pinagainst: Gem, hireEZWorkableChangedJuiceboxagainst: LinkedIn Recruiter, SeekOutHiredAI, Pinagainst: LinkedIn RecruiterGemagainst: Beamery, SeekOutagainst: Alibaba, Coupa, DHgate, Findem, Jaggaer, LinkedIn Recruiter, Made-in-China, SAP Ariba, SeekOut
Five alternatives
Apollo.io, Fetcher, Loxo, Lusha, WorkableFive alternatives
Breezy HR, Gem, Loxo, Recruit CRM, RecruiterflowThree alternatives
Gem, Manatal, PinFive alternatives
Apollo.io, Breezy HR, Juicebox, RecruitEm, Zoho RecruitFour alternatives
Fetcher, Juicebox, PeopleGPT, PinPerplexity SonarPinHubSpot CRM, Recruit CRMChangedPinManatal, Pinno first choiceagainst: Apollo.io, Bullhorn, ContactOut, Gem, Juicebox, LinkedIn Recruiter, Loxo, SeekOut, hireEZ
Two alternatives
Gem, ManatalTwo alternatives
Manatal, Zoho RecruitFour alternatives
Juicebox, Leonar, Manatal, hireEZTwo alternatives
Breezy HR, Zoho RecruitGrok 4.1 FastZoho Recruitagainst: LinkedIn RecruiterBreezy HRChangedBreezy HR, ManatalBreezy HR, Zoho Recruitagainst: LinkedInPinagainst: 1688.com, AliExpress, Alibaba, Global Sources, ThomasNet
Three alternatives
Breezy HR, JazzHR, LinkedIn RecruiterThree alternatives
JazzHR, Workable, Zoho RecruitThree alternatives
Fetcher, Loxo, WorkableOne alternative
WorkableFour alternatives
Juicebox, Leonar, Zoho Recruit, hireEZMistral SmallManatalManatal, Recruit CRMChangedLoxo, Pinagainst: SeekOut, hireEZManatalno first choiceagainst: Coupa, Ivalua, Jaggaer, SAP Ariba
Two alternatives
Pin, WorkableTwo alternatives
HubSpot CRM, Zoho RecruitThree alternatives
ContactOut, Gem, ManatalOne alternative
Zoho RecruitDeepSeek V4 FlashApollo.io, WorkableZoho RecruitChangedagainst: HubSpot CRM, NutshellPinManatalManatal, Pinagainst: Beamery, iCIMSagainst: Alibaba, Coupa, DHgate, Ivalua, Jaggaer, SAP Ariba
Three alternatives
Breezy HR, JazzHR, LinkedIn RecruiterOne alternative
Recruit CRMSeven alternatives
ContactOut, Juicebox, Loxo, Manatal, SeekOut, Workable, hireEZThree alternatives
Breezy HR, JazzHR, Zoho RecruitThree alternatives
Gem, Leonar, LinkedIn RecruiterLlama 4 MaverickPinno first choiceChangedLoxoManatalno first choicenothing named
Four alternatives
Juicebox, Loxo, Manatal, hireEZFour alternatives
Juicebox, Leonar, Manatal, PinQwen 3.7 FlashApollo.ioRecruit CRMChangedPinManatal, Pin, Zoho Recruitno first choiceagainst: Alibaba, Coupa, GEP SMART, Global Sources, LinkedIn Recruiter, Oracle NetSuite, SAP Ariba, ThomasNet, Workday Recruiting, hireEZ
Two alternatives
LinkedIn Recruiter, hireEZThree alternatives
Manatal, Pin, Zoho RecruitTwo alternatives
Loxo, ManatalOne alternative
IndeedKimi K2Workableagainst: LinkedIn RecruiterRecruit CRMChangedagainst: BullhornManatalManatal, Zoho Recruitagainst: Greenhouse, Lever, LinkedIn Recruiterno first choiceagainst: Alibaba
Four alternatives
JazzHR, Manatal, Pin, RecruiteeOne alternative
Zoho RecruitFive alternatives
ContactOut, Gem, Juicebox, SeekOut, hireEZThree alternatives
Breezy HR, Juicebox, PinGLM 4.7 FlashXManatalNutshellChangedagainst: Recruit CRMLushaPinagainst: Gem, LinkedIn Recruiter, hireEZno first choiceagainst: hireEZnothing named
Two alternatives
Fetcher, Recruit CRMOne alternative
HubSpot CRMFive alternatives
Apollo.io, ContactOut, Pin, SeekOut, hireEZTwo alternatives
Manatal, Zoho RecruitTwo alternatives
Juicebox, ManatalMiniMax M2.5Lever, LinkedIn RecruiterFreshsalesChangedPinagainst: LinkedIn RecruiterManatalno first choiceagainst: LinkedIn Recruiter
Three alternatives
Juicebox, Leonar, PinThree alternatives
HubSpot CRM, Pipedrive, SalesforceTwo alternatives
Fetcher, ManatalTwo alternatives
Gem, SeekOutGPT-6 LunaLinkedIn RecruiterPipedriveChangedLinkedIn RecruiterWellfound Reachno first choiceagainst: Faire
One alternative
GemOne alternative
HubSpot CRMThree alternatives
Gem, Juicebox, SeekOut Sourcing CoreOne alternative
LinkedIn RecruiterMuse Glimmer 30BManatalManatal, Zoho RecruitChangedManatal, Pinagainst: LinkedIn Recruiter, SeekOutManatalManatal, Pinagainst: Alibaba.com, Coupa, GEP SMART, LinkedIn Recruiter, Oracle NetSuite, SAP Ariba, Workday Recruiting, hireEZ
Two alternatives
SeekOut, hireEZOne alternative
NutshellThree alternatives
ContactOut, Loxo, SignalHireTwo alternatives
Pin, Zoho RecruitTwo alternatives
LinkedIn Recruiter, SeekOutBold 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 12:07 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:57 | yes | 2 | 3 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:56 | yes | 16 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:18 | yes | 20 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:11 | yes | 22 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:20 | yes | 8 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:15 | yes | 22 | 28 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:43 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:06 | no | 0 | 28 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:53 | yes | 15 | 19 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:09 | yes | 23 | 67 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:52 | yes | 5 | 16 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:50 | yes | 2 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:31 | yes | 13 | 17 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:19 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:42 | no | 0 | 2 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:58 | yes | 8 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:07 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:18 | yes | 23 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:16 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:12 | yes | 19 | 35 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:02 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:25 | yes | 9 | 41 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:34 | yes | 15 | 18 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:38 | yes | 15 | 37 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:37 | yes | 5 | 27 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:52 | yes | 2 | 8 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:54 | yes | 21 | 32 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:43 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:01 | yes | 5 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:07 | yes | 15 | 26 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:33 | yes | 20 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:58 | yes | 21 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:12 | yes | 10 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:52 | yes | 23 | 38 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:54 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:25 | yes | 10 | 30 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:29 | yes | 19 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:31 | yes | 23 | 70 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:23 | yes | 16 | 27 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:18 | yes | 4 | 25 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:56 | yes | 13 | 34 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:30 | no | 0 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:54 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:05 | yes | 21 | 20 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:42 | yes | 20 | 2 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:14 | yes | 24 | 11 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:11 | yes | 5 | 2 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:32 | yes | 25 | 18 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:44 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:09 | yes | 10 | 21 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:57 | yes | 20 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:55 | yes | 18 | 87 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:20 | yes | 5 | 10 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:45 | yes | 2 | 9 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:57 | yes | 14 | 11 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:05 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:49 | no | 0 | 4 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:12 | yes | 10 | 22 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:03 | yes | 20 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:02 | yes | 16 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:47 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:41 | yes | 14 | 31 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:09 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:46 | no | 0 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:41 | yes | 15 | 21 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:16 | yes | 18 | 42 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:35 | no | 0 | 8 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:28 | yes | 2 | 16 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:09 | yes | 12 | 19 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:19 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:29 | no | 0 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:54 | no | 0 | 15 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:59 | yes | 24 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:47 | yes | 24 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:14 | yes | 5 | 3 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:58 | yes | 25 | 25 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:45 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:58 | yes | 15 | 68 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:43 | yes | 20 | 26 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:40 | yes | 15 | 66 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:34 | yes | 11 | 29 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:49 | yes | 2 | 14 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:56 | yes | 25 | 35 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
Apollo read as Apollo.io
Breezy read as Breezy HR
HubSpot read as HubSpot CRM
Workday read as Workday Recruiting
Unresolved, counted raw
1688.com
Alibaba.com
Bill.com
CJ Dropshipping
Collective
Freshworks CRM
Helium 10
Jungle Scout
Katana
Kissflow Procurement
LinkedIn's Recruiter Lite
MetaWMS
Modalyst
SaleHoo
Sales Navigator
SalesQL
Salesflare
SeekOut Sourcing Core
Spocket
Teal
Wellfound Reach
Worldwide Brands
Zendrop
Zoho Inventory
Discontinued, still offered
No shut-down product was recommended here.