Recruiting CRM and sourcing
Asked as “candidate sourcing tool”, and as “recruiting CRM”, on behalf of a mid-market B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
15Gem15Lever15Manatal55others
15% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Gem (15%) replaces Lever (20% then, 11% now), 4 points clear, inside the 13-point floor.Gem leads at 15%, replacing Lever, which led at 20% and stands at 11% 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.Standing →Mid-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.This pageEnterprise
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.Standing →Mid-marketGem15%Contested↗new leaderNew leader since September 2026: Gem (15%) replaces Lever (20% then, 11% now), 4 points clear, inside the 13-point floor.This pageEnterpriseSeekOut18%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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Gem15%3%30accepted challenger▼−3Since September 2026: 18% → 15%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.18% → 15%
Gem15%3%30accepted challenger▼−3Since September 2026: 18% → 15%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.18% → 15%02
Lever15%0%17accepted challenger▼−10Since September 2026: 20% → 11%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.20% → 11%
Lever15%0%17accepted challenger▼−10Since September 2026: 20% → 11%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.20% → 11%03Manatal15%5%21accepted challenger▲+6Since September 2026: 9% → 15%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 15%
Manatal15%5%21accepted challenger▲+6Since September 2026: 9% → 15%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 15%04
hireEZ8%7%27accepted challenger▲+4Since September 2026: 5% → 9%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 9%
hireEZ8%7%27accepted challenger▲+4Since September 2026: 5% → 9%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 9%05
Zoho Recruit6%0%11accepted challenger=heldSince September 2026: 7% → 6%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 6%
Zoho Recruit6%0%11accepted challenger=heldSince September 2026: 7% → 6%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 6%06
Pin4%0%20accepted challenger▼−3Since September 2026: 7% → 4%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 4%
Pin4%0%20accepted challenger▼−3Since September 2026: 7% → 4%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 4%07
LinkedIn Recruiter4%26%34criticized challenger=heldSince September 2026: 5% → 4%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 4%
LinkedIn Recruiter4%26%34criticized challenger=heldSince September 2026: 5% → 4%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 4%08
Greenhouse4%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%
Greenhouse4%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%Show the two products at 0%, ordered by negative rate
09SeekOut0%7%27accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
SeekOut0%7%27accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%10
Juicebox0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Juicebox0%0%13accepted 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 →
01020304050607080910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Gem15%
Gem15%02Lever15%
Lever15%03Manatal15%
Manatal15%04hireEZ8%
hireEZ8%05Zoho Recruit6%
Zoho Recruit6%06Pin4%
Pin4%07LinkedIn Recruiter4%
LinkedIn Recruiter4%08Greenhouse4%
Greenhouse4%09SeekOut0%
SeekOut0%10Juicebox0%
Juicebox0%What they warned about
Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 and GPT-6 Luna 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 Recruiter26%
9 of 34 labels negative · 6 of 14 models · 1 hard negative
“Overpriced Platforms with Opaque Pricing - **LinkedIn Recruiter Corporate**: $10,800–$15,000/year with 3-seat minimums” Kimi K2, negative prompt
Beamery71%
5 of 7 labels negative · 4 of 14 models · 1 hard negative
“**SeekOut, Findem, Beamery**: Don't publish pricing (often signals enterprise-level costs)” Kimi K2, negative prompt
SeekOut7%
2 of 27 labels negative · 2 of 14 models · 1 hard negative
“**SeekOut, Findem, Beamery**: Don't publish pricing (often signals enterprise-level costs)” Kimi K2, negative prompt
Alibaba100%
2 of 2 labels negative · 2 of 14 models
“On Alibaba, stick to "Gold Suppliers" with Trade Assurance escrow—beware basic "Verified Suppliers" or those refusing factory checks.” Grok 4.1 Fast, 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
74 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. 951 links across 262 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 · Pin45 answers · 96 citations · 12 models
vendor site · Lever43 answers · 59 citations · 13 models
vendor site · Leonar33 answers · 38 citations · 10 models
33 answers · 36 citations · 11 models
vendor site · Intervue23 answers · 23 citations · 11 models
vendor site · Gem22 answers · 25 citations · 10 models
vendor site · Metaview22 answers · 25 citations · 8 models
vendor site · Juicebox19 answers · 22 citations · 11 models
15 answers · 20 citations · 9 models
vendor site · Guideflow15 answers · 17 citations · 9 models
vendor site · HireBasis14 answers · 15 citations · 6 models
vendor site · Greenhouse13 answers · 15 citations · 6 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.
34 answers · 11 models
28 answers · 11 models
26 answers · 10 models
26 answers · 11 models
18 answers · 11 models
18 answers · 8 models
15 answers · 8 models
14 answers · 6 models
13 answers · 8 models
12 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 “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 |
|---|---|---|---|---|---|---|---|---|
| Gem gem.com | 15% | 209 | 246,000 | 225,116 | 16,291 | 10 | ||
| Lever lever.co | 15% | 275 | 60,500 | 24,663 | 189,552 | $657 | 7 | |
| Manatal manatal.com | 15% | 294 | 2,400 | 267 | 73,150 | 120 | ||
| hireEZ hireez.com | 8% | 185 | 2,400 | 43 | 3,058 | 35 | ||
| Zoho zoho.com Zoho Recruit 6% | 6% | 322 | 2,900 | 46 | 1,216,894 company | $51,031 | 119 | |
| LinkedIn parent site LinkedIn Recruiter 4%, LinkedIn Jobs 2% | 6% | 111 | 11,100,000 | 77,031 | ||||
| Pin pin.com | 4% | 199 | 368,000 | 243,385 | 24,375 | 28 | 2 | |
| Greenhouse greenhouse.com | 4% | 419 | 301,000 | 52,273 | 62,551 | $5,545 | 74 | |
| Workable workable.com | 4% | 308 | 14,800 | 520 | 698,499 | $14,562 | 77 | 2 |
| Recruit CRM recruitcrm.io | 4% | 113 | 2,400 | 149 | 6,950 | 18 |
Google's top ten for the three searches hold 18 sites; 5 of them are among the sites the models cited here (juicebox.ai, metaview.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 mid-market B2B company?”Paraphrase“Which recruiting CRM would you recommend to a mid-sized B2B company?”Comparative“What are the top sourcing tools and how do they differ?”Budget-constrained“What is the best candidate sourcing tool for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a candidate sourcing tool. What should we look at?”Negative“Which sourcing tools should I avoid or be cautious about?”
Claude Haiku 4.5Jobvite, WorkableManatal, Recruit CRMChangedagainst: BullhornNoonManatalno first choicenothing named
Two alternatives
Gem, hireEZTwo alternatives
ATZ CRM, WorkableSeven alternatives
AmazingHiring, Gem, GoPerfect, LinkedIn Recruiter, Metaview, SeekOut, hireEZThree alternatives
LinkedIn Recruiter, Loxo, PinGPT-5.4 miniLinkedIn RecruiterGreenhouseChangedLinkedIn RecruiterLinkedIn Jobs, LinkedIn Recruiterno first choicenothing named
One alternative
Hiring ProTwo alternatives
Jobvite, iCIMSTwo alternatives
SeekOut, hireEZOne alternative
Gem Startup ProgramGemini 3.5 FlashGemAshbyChangedagainst: Workday Recruitingno first choiceagainst: LinkedIn RecruiterPinagainst: Gem, LinkedIn Recruiter, hireEZno first choicenothing named
Two alternatives
Juicebox, hireEZThree alternatives
Gem, Lever, LoxoEight alternatives
Apollo.io, Free Sourcing Tools, HeyTalent, HiredAI, Manatal, MindHunt AI, RecruitEm, WellfoundThree alternatives
Gem, SeekOut, hireEZPerplexity SonarGem, hireEZPinpointChangedno first choicePinno first choiceagainst: Capital IQ, PitchBook, SourceScrub, ZoomInfo
Three alternatives
Fetcher, Findem, SeekOutFour alternatives
Avature, Lever, Recruiterflow, WorkableTwo alternatives
Manatal, Zoho RecruitGrok 4.1 FastLeverLeverHeldhireEZLinkedInagainst: LinkedIn Recruiter, ManatalhireEZagainst: Beameryagainst: Alibaba, Capital IQ, LinkedIn Recruiter, PitchBook, SeekOut, hireEZ
Five alternatives
Gem, Greenhouse, Pin, Workable, hireEZThree alternatives
Greenhouse, Workable, Zoho RecruitSix alternatives
Beamery, Eightfold AI, LinkedIn Recruiter, Paradox, Pin, SeekOutThree alternatives
Google for Jobs, Indeed, Zoho RecruitTwo alternatives
Gem, SeekOutMistral SmallLeverFreshteam, Zoho RecruitChangedJuicebox, LinkedIn RecruiterHireBasisno first choicenothing named
Three alternatives
Guideflow, Intervue, PinOne alternative
NutshellSix alternatives
AmazingHiring, Beamery, Eightfold AI, Fetcher, SeekOut, hireEZTwo alternatives
Juicebox, RecruitEmDeepSeek V4 FlashGemLeverChangedagainst: Recruit CRMLinkedIn RecruiterManatalno first choiceagainst: Beamery, iCIMSagainst: Alibaba, Beamery, ZoomInfo Talent, iCIMS
Three alternatives
Greenhouse, Lever, WorkableThree alternatives
Ashby, Gem, GreenhouseSix alternatives
Gem, Manatal, Pin, SeekOut, ZoomInfo Talent, hireEZTwo alternatives
Gem, Zoho RecruitLlama 4 Maverickno first choiceno first choiceHeldno first choiceManatalno first choicenothing named
Qwen 3.7 FlashGemagainst: LinkedIn RecruiterGemHeldLinkedIn RecruiterJobin.cloud, Zoho Recruitno first choiceagainst: LinkedIn Recruiter
Two alternatives
Apollo.io, SeekOutTwo alternatives
Ashby, TalentLyftTwo alternatives
Apollo.io, Pin FinderTwo alternatives
Indeed, SeekOutKimi K2Gem, hireEZPinpoint, WorkableChangedno first choiceFreshteamno first choiceagainst: Beamery, Findem, LinkedIn Recruiter, SeekOut
Two alternatives
LinkedIn Recruiter, SeekOutTwo alternatives
JazzHR, Zoho RecruitTwo alternatives
Breezy HR, Zoho RecruitGLM 4.7 FlashXno first choiceRecruit CRMChangedLinkedIn Recruiter, PinManatalno first choiceagainst: LinkedIn Recruiter
Two alternatives
Greenhouse, Zoho RecruitFive alternatives
Gem, Juicebox, Lever, SeekOut, hireEZOne alternative
PinMiniMax M2.5LeverGreenhouse, Salesforce CRMChangedLinkedIn RecruiterManatal, Zoho RecruitGem, Manatal, hireEZagainst: Beamery, iCIMSagainst: Amazon, ProcurePort/eBid Systems, SAP Ariba
Two alternatives
Pin, Recruit CRMTwo alternatives
Recruiterflow, Zoho RecruitSeven alternatives
Eightfold AI, Findem, Gem, Juicebox, Lever, SeekOut, hireEZOne alternative
PinGPT-6 LunaGemLeverChangedLinkedIn RecruiterSeekOut Recruit Coreno first choicenothing named
Two alternatives
LinkedIn Recruiter, SeekOutTwo alternatives
Ashby, GreenhouseFour alternatives
Gem, Juicebox, SeekOut, hireEZTwo alternatives
LinkedIn Recruiter, free LinkedIn searchMuse Glimmer 30BLeverLeverHeldLinkedIn RecruiterManatalagainst: LinkedIn Recruiterno first choicenothing named
Three alternatives
Gem, Workable, hireEZFour alternatives
Gem, Greenhouse, Recruit CRM, SmartRecruitersFour alternatives
Fetcher, Pin, SeekOut, hireEZTwo alternatives
Juicebox, LoxoBold 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 10:17 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:29 | yes | 4 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:42 | yes | 17 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:42 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:01 | yes | 21 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:53 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:58 | yes | 23 | 30 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:05 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:49 | no | 0 | 25 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:38 | yes | 14 | 19 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:30 | yes | 22 | 226 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:44 | yes | 9 | 17 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:44 | yes | 3 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:00 | yes | 17 | 29 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:34 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:45 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:13 | yes | 17 | 27 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:20 | yes | 19 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:02 | yes | 24 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:44 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:02 | yes | 21 | 25 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:26 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:26 | no | 0 | 45 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:53 | yes | 10 | 13 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:24 | yes | 13 | 87 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:02 | yes | 5 | 29 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:44 | yes | 3 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:10 | yes | 14 | 23 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:43 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:36 | yes | 2 | 5 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:09 | yes | 18 | 25 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 12:05 | yes | 20 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:07 | yes | 24 | 11 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:51 | yes | 10 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:15 | yes | 23 | 37 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:59 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:02 | yes | 12 | 25 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:30 | yes | 19 | 30 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:33 | yes | 20 | 35 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:37 | yes | 12 | 39 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:05 | yes | 5 | 19 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:05 | yes | 12 | 27 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:45 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:19 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:43 | yes | 21 | 22 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:03 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:52 | yes | 21 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:45 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:24 | yes | 25 | 31 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:29 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:04 | yes | 5 | 23 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:37 | yes | 10 | 12 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:31 | yes | 9 | 39 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:16 | yes | 5 | 14 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:50 | yes | 2 | 8 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:02 | yes | 17 | 21 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:29 | no | 0 | 8 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:41 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:10 | yes | 14 | 26 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:14 | yes | 20 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:57 | yes | 14 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:53 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:50 | yes | 15 | 33 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:42 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:18 | no | 0 | 23 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:46 | yes | 15 | 23 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:48 | yes | 15 | 20 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:04 | yes | 5 | 14 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:11 | yes | 2 | 12 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:42 | no | 0 | 2 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:22 | no | 0 | 2 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:36 | no | 0 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:51 | yes | 18 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:07 | yes | 20 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:21 | yes | 24 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:43 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:01 | yes | 25 | 48 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:43 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:01 | yes | 10 | 32 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:21 | yes | 25 | 25 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:38 | yes | 18 | 44 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:34 | yes | 17 | 46 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:58 | no | 0 | 2 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:19 | yes | 15 | 26 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
Eightfold read as Eightfold AI
LeverTRM read as Lever
LeverTRM (by Lever) read as Lever
Noon AI read as Noon
Workday read as Workday Recruiting
ZoomInfo Talent Solutions read as ZoomInfo Talent
Unresolved, counted raw
Acquire.com
Augtal
Axial
BizBuySell
BranchTrack
Ceipal
Clay
Coresignal
Evite
Free Sourcing Tools
Gem Startup Program
GitHub Recruiter
Grata
HeyTalent
Hiring Pro
Indeed Resume database
Kalent
ListSource
Nymeria
Pin Finder
ProcurePort/eBid Systems
Salesforce CRM
SourceWhale
StackOverflow
Syndico
free LinkedIn search
Discontinued, still offered
No shut-down product was recommended here.