Data enrichment
Asked as “B2B data enrichment tool”, and as “lead and account enrichment service”, on behalf of a mid-market B2B company. 48 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
73%
Clear leader
73Apollo.io06Clay06ZoomInfo15others
73% of first choices, clear leader.
Since September 2026▲+1Since September 2026: 70% → 71%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Apollo.io held the lead, +1 point on 70%, inside the 11-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
Apollo.io77%Clear leader▼−2Since September 2026: 76% → 74%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketApollo.io73%Clear leader▲+1Since September 2026: 70% → 71%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageEnterprise
ZoomInfo62%Clear leader▲+15Since September 2026: 46% → 61%, +15 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →
Apollo.io77%Clear leader▼−2Since September 2026: 76% → 74%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketApollo.io73%Clear leader▲+1Since September 2026: 70% → 71%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageEnterpriseZoomInfo62%Clear leader▲+15Since September 2026: 46% → 61%, +15 points. Past the 11-point floor: movement. Read over the models both editions asked.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
01Apollo.io73%14%72endorsed leader▲+1Since September 2026: 70% → 71%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.70% → 71%
Apollo.io73%14%72endorsed leader▲+1Since September 2026: 70% → 71%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.70% → 71%02
Clay6%11%37accepted challenger▼−1Since September 2026: 9% → 7%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 7%
Clay6%11%37accepted challenger▼−1Since September 2026: 9% → 7%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 7%03ZoomInfo6%48%60criticized challenger▲+5Since September 2026: 2% → 7%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 7%
ZoomInfo6%48%60criticized challenger▲+5Since September 2026: 2% → 7%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 7%04
HubSpot Breeze Intelligence4%19%52accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 5%
HubSpot Breeze Intelligence4%19%52accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 5%05
Cognism2%6%48accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%
Cognism2%6%48accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%06
Lusha2%16%45accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Lusha2%16%45accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%07
Hunter2%0%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Hunter2%0%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08
UpLead2%7%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
UpLead2%7%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%09
Snov.io2%20%10accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Snov.io2%20%10accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%Show the three products at 0%, ordered by negative rate
12
6sense0%20%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
6sense0%20%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%11
People Data Labs0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
People Data Labs0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%10
Demandbase0%0%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Demandbase0%0%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 11 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 twenty-eight head-to-head pages: the top eight products, each against each
Apollo.io vs CognismApollo.io vs LushaApollo.io vs HunterApollo.io vs UpLeadClay vs ZoomInfoClay vs HubSpot Breeze IntelligenceClay vs CognismClay vs LushaClay vs HunterClay vs UpLeadZoomInfo vs HubSpot Breeze IntelligenceZoomInfo vs CognismZoomInfo vs LushaZoomInfo vs HunterZoomInfo vs UpLeadHubSpot Breeze Intelligence vs CognismHubSpot Breeze Intelligence vs LushaHubSpot Breeze Intelligence vs HunterHubSpot Breeze Intelligence vs UpLeadCognism vs LushaCognism vs HunterCognism vs UpLeadLusha vs HunterLusha vs UpLeadHunter vs UpLead
One product takes 73% of first choices here, so the chart would put eleven markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. One product carries a negative rate above 25% in this category.
What they warned about
Eight of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Llama 4 Maverick, Qwen 3.7 Flash and MiniMax M2.5 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.
ZoomInfo48%
29 of 60 labels negative · 14 of 14 models · 8 hard negative
“ZoomInfo receives 0-star ratings from verified users criticizing predatory contracts, misleading sales tactics, overpricing” Claude Haiku 4.5, negative prompt
Apollo.io14%
10 of 72 labels negative · 10 of 14 models · 1 hard negative
“data accuracy and billing are the top pain points at scale” Muse Glimmer 30B, negative prompt
Lusha16%
7 of 45 labels negative · 7 of 14 models · 2 hard negative
“Low email accuracy: Independent checks suggest only about 68% email return at roughly 82% accuracy, which is below industry standards.” Mistral Small, negative prompt
HubSpot Breeze Intelligence19%
10 of 52 labels negative · 6 of 14 models · 2 hard negative
“Users report a loss of functionality and flexibility, making it less reliable for those who previously relied on Clearbit's standalone features.” 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. 1017 links across 202 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.
vendor site · ZoomInfo46 answers · 125 citations · 11 models
vendor site · Salesmotion42 answers · 65 citations · 12 models
vendor site · Demandbase34 answers · 38 citations · 10 models
vendor site · Apollo.io27 answers · 56 citations · 11 models
vendor site · Cleanlist26 answers · 34 citations · 10 models
vendor site · Amplemarket21 answers · 24 citations · 11 models
vendor site · Salesgenie21 answers · 21 citations · 10 models
19 answers · 32 citations · 10 models
vendor site · Clay15 answers · 16 citations · 11 models
vendor site · Zapier13 answers · 13 citations · 7 models
12 answers · 12 citations · 9 models
vendor site · Tomba12 answers · 12 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.
38 answers · 11 models
31 answers · 9 models
25 answers · 11 models
24 answers · 9 models
22 answers · 10 models
21 answers · 10 models
19 answers · 10 models
17 answers · 8 models
13 answers · 7 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 “b2b data enrichment tool”, “best b2b data enrichment tool”. 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 |
|---|---|---|---|---|---|---|---|---|
| Apollo.io apollo.io | 73% | 1000 | 33,100 | 396 | 111,608 | 94 | ||
| Clay clay.com | 6% | 226 | 135,000 | 168,089 | 294,056 | 11 | ||
| ZoomInfo zoominfo.com | 6% | 846 | 135,000 | 1,810 | 6,376,738 | $1,140 | 120 | |
| HubSpot parent site HubSpot Breeze Intelligence 4% | 4% | 221 | 368,000 | 9,776 | ||||
| Cognism cognism.com | 2% | 384 | 3,600 | 68 | 48,685 | 15 | ||
| Lusha lusha.com | 2% | 322 | 12,100 | 893 | 52,570 | $11 | 57 | |
| Hunter hunter.io | 2% | 75 | 201,000 | 280,275 | 152,782 | 6 | ||
| UpLead uplead.com | 2% | 101 | 3,600 | 57 | 15,339 | 7 | ||
| Snov.io snov.io | 2% | 66 | 3,600 | 71 | 46,528 | 3 | ||
| Demandbase demandbase.com | 0% | 672 | 5,400 | 211 | 42,531 | 34 | 4 |
Google's top ten for the two searches hold 17 sites; 4 of them are among the sites the models cited here (demandbase.com, salesgenie.com, salesmotion.io, zapier.com). The first result for “b2b data enrichment tool” is zapier.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 B2B data enrichment tool for a mid-market B2B company?”Paraphrase“Which lead and account enrichment service would you recommend to a mid-sized B2B company?”Comparative“What are the top B2B data enrichment tools and how do they differ?”Budget-constrained“What is the best B2B data enrichment tool for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a B2B data enrichment tool. What should we look at?”Negative“Which B2B data enrichment tools should I avoid or be cautious about?”
Claude Haiku 4.5Apollo.ioApollo.ioHeldno first choiceagainst: ClayApollo.io, Lushano first choiceagainst: 6sense, Apollo.io, Cognism, Lusha, RocketReach, Snov.io, ZoomInfo
Three alternatives
Cleanlist, Cognism, ZoomInfoFour alternatives
Clay, Cleanlist, Cognism, UpLeadOne alternative
QuickEnrichGPT-5.4 miniApollo.ioHubSpot Breeze IntelligenceChangedZoomInfoApollo.ioagainst: Cognism, HubSpot Breeze Intelligence, ZoomInfono first choiceagainst: Apollo.io, D&B Connect, HubSpot Breeze Intelligence, Lusha, ZoomInfo
Two alternatives
Lusha, ZoomInfoOne alternative
ZoomInfoSeven alternatives
6sense, Apollo.io, Clay, Cognism, HubSpot Breeze Intelligence, Lusha, People Data LabsTwo alternatives
Hunter, LushaGemini 3.5 FlashClayApollo.io, ClayChangedagainst: ZoomInfoClayApollo.ioagainst: ZoomInfoClayagainst: ZoomInfoagainst: Kaspr, Lusha, Seamless.AI, ZoomInfo
Four alternatives
Apollo.io, Cognism, HubSpot Breeze Intelligence, ZoomInfoTwo alternatives
Cognism, HubSpot Breeze IntelligenceFour alternatives
Apollo.io, Cognism, HubSpot Breeze Intelligence, ZoomInfoThree alternatives
Clay, FullEnrich, LushaThree alternatives
Apollo.io, Cognism, HubSpot Breeze IntelligencePerplexity SonarApollo.ioagainst: ZoomInfoZoomInfoChangedno first choiceApollo.iono first choiceagainst: Apollo.io
Two alternatives
Cognism, UpLeadFour alternatives
Apollo.io, Clay, Cognism, UpLeadThree alternatives
BookYourData, Snov.io, TombaGrok 4.1 FastApollo.ioagainst: ZoomInfoApollo.ioHeldagainst: ZoomInfono first choiceApollo.iono first choiceagainst: Apollo.io, Cognism, HubSpot Breeze Intelligence, UpLead, ZoomInfo
Two alternatives
Cognism, UpLeadThree alternatives
Cognism, HubSpot Breeze Intelligence, LushaSix alternatives
Clay, Hunter, Lead411 Spark, Lusha, RocketReach, Snov.ioMistral SmallZoomInfoZoomInfoHeldno first choiceApollo.io, Snov.iono first choiceagainst: HubSpot Breeze Intelligence, Lusha, People Data Labs, ZoomInfo
Three alternatives
Clay, HubSpot Breeze Intelligence, UpLeadThree alternatives
Apollo.io, Demandbase, LushaTwo alternatives
Hunter, LushaDeepSeek V4 FlashApollo.ioagainst: ZoomInfoApollo.ioHeldagainst: 6sense, HubSpot Breeze IntelligenceZoomInfoApollo.iono first choiceagainst: ZoomInfoagainst: Apollo.io, Clay, Data.com, Datanyze, HubSpot Breeze Intelligence, ZoomInfo
Four alternatives
Cleanlist, Cognism, HubSpot Breeze Intelligence, LushaTwo alternatives
Cognism, ZoomInfoNine alternatives
6sense, Amplemarket, Apollo.io, Clay, Cognism, Demandbase, HubSpot Breeze Intelligence, Lusha, People Data LabsTwo alternatives
Lusha, Snov.ioLlama 4 MaverickApollo.ioCognismChangedno first choiceApollo.iono first choiceagainst: Apollo.io, ZoomInfo
Two alternatives
HubSpot Breeze Intelligence, UpLeadTwo alternatives
UpLead, ZoomInfoOne alternative
CognismQwen 3.7 FlashUpLeadagainst: ZoomInfoApollo.ioChangedagainst: ZoomInfono first choiceApollo.ioagainst: HubSpot Breeze Intelligence, ZoomInfono first choiceagainst: HubSpot Breeze Intelligence, Jasper, LinkedIn Sales Navigator, RocketReach, Seamless.AI, ZoomInfo
Two alternatives
Apollo.io, HubSpot Breeze IntelligenceThree alternatives
Cognism, HubSpot Breeze Intelligence, LushaFour alternatives
Apollo.io, HubSpot Breeze Intelligence, Tomba.io, ZoomInfoThree alternatives
Hunter, Lusha, UpLeadKimi K2Apollo.ioagainst: ZoomInfoApollo.ioHeldagainst: ZoomInfoZoomInfoApollo.iono first choiceagainst: Apollo.io, ZoomInfo
Two alternatives
Clay, HubSpot Breeze IntelligenceThree alternatives
6sense, Cognism, HubSpot Breeze IntelligenceFive alternatives
Apollo.io, Clay, Cognism, HubSpot Breeze Intelligence, LeadIQThree alternatives
Datanyze, Hunter, Snov.ioGLM 4.7 FlashXApollo.ioagainst: ZoomInfoApollo.ioHeldagainst: ZoomInfoApollo.ioApollo.iono first choiceagainst: Kaspr, Lusha, Snov.io
Three alternatives
Clay, Cognism, HubSpot Breeze IntelligenceOne alternative
CognismSeven alternatives
Clay, Cognism, Demandbase, HubSpot Breeze Intelligence, Lusha, People Data Labs, ZoomInfoFour alternatives
Clay, Lusha, RocketReach, Snov.ioMiniMax M2.5Apollo.io, HubSpot Breeze IntelligenceApollo.ioChangedno first choiceApollo.ioagainst: Clay, ZoomInfono first choiceagainst: Apollo.io, Dun & Bradstreet NetProspex, Exactis
One alternative
ZoomInfoTwo alternatives
HubSpot Breeze Intelligence, ZoomInfoSeven alternatives
Apollo.io, Clay, Cognism, HubSpot Breeze Intelligence, LeadIQ, Lusha, ZoomInfoTwo alternatives
Cleanlist, HunterGPT-6 LunaApollo.ioApollo.ioHeldno first choiceagainst: HubSpot Breeze IntelligenceApollo.iono first choiceagainst: Apollo.io, Clay, Lusha, RocketReach, Seamless.AI, ZoomInfo
Three alternatives
Clay, Cognism, HubSpot Breeze IntelligenceTwo alternatives
Cognism, HubSpot Breeze IntelligenceFive alternatives
Apollo.io, Clay, Cognism, People Data Labs, ZoomInfoOne alternative
ClayMuse Glimmer 30BApollo.ioagainst: ZoomInfoApollo.ioHeldZoomInfoApollo.io, Hunterno first choiceagainst: Apollo.io, Lusha, ZoomInfo
Two alternatives
Cognism, HubSpot Sales HubFour alternatives
Cleanlist, Demandbase, HubSpot Breeze Intelligence, ZoomInfoSeven alternatives
6sense, Apollo.io, Clay, Cognism, Demandbase, HubSpot Breeze Intelligence, formerly Clearbit, LinkedIn Sales NavigatorTwo alternatives
Lusha, Snov.ioBold 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 09:54 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:11 | yes | 3 | 8 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:26 | yes | 19 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 12:43 | yes | 19 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:11 | yes | 21 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:47 | yes | 7 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:58 | yes | 22 | 28 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:20 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:39 | yes | 9 | 21 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:10 | yes | 16 | 27 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:52 | yes | 25 | 251 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:26 | yes | 5 | 18 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 14:12 | yes | 4 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:54 | yes | 13 | 30 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:54 | yes | 17 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:01 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:40 | yes | 10 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 13:46 | yes | 18 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:33 | yes | 22 | 10 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:40 | yes | 12 | 10 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:19 | yes | 21 | 21 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:38 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:51 | no | 0 | 25 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:36 | yes | 19 | 17 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:19 | yes | 21 | 246 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:57 | yes | 8 | 24 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:39 | yes | 3 | 22 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:27 | yes | 12 | 18 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:34 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:24 | yes | 3 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:13 | yes | 14 | 26 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:38 | yes | 19 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:44 | yes | 21 | 12 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:31 | yes | 10 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:01 | yes | 18 | 72 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:27 | yes | 5 | 4 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:08 | yes | 5 | 24 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:08 | yes | 13 | 26 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:57 | yes | 22 | 107 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:26 | yes | 14 | 20 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:19 | yes | 7 | 34 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:12 | yes | 13 | 34 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:56 | yes | 9 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:37 | yes | 2 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:59 | yes | 21 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 13:49 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:20 | yes | 21 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:44 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:06 | yes | 25 | 31 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:24 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:18 | no | 0 | 32 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:07 | yes | 12 | 24 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:35 | yes | 15 | 29 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:38 | yes | 15 | 34 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:40 | yes | 2 | 13 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:11 | yes | 14 | 20 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:54 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:24 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:15 | yes | 12 | 26 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:41 | yes | 19 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:38 | yes | 14 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:07 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:54 | yes | 19 | 48 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:02 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:29 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:14 | yes | 10 | 16 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:05 | yes | 14 | 31 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:57 | yes | 5 | 14 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:59 | yes | 2 | 15 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:09 | yes | 14 | 18 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:03 | yes | 15 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:37 | yes | 5 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:02 | yes | 23 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:43 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:46 | yes | 21 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:43 | yes | 9 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:21 | yes | 21 | 54 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:52 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:17 | no | 0 | 31 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:08 | yes | 24 | 22 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:36 | yes | 24 | 31 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:19 | yes | 23 | 34 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:15 | yes | 4 | 29 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:20 | yes | 23 | 27 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
HubSpot read as HubSpot Breeze Intelligence
Unresolved, counted raw
Data.com
Dun & Bradstreet NetProspex
Exactis
HubSpot Breeze Intelligence, formerly Clearbit
Lead411 Spark
Proxycity
QuickEnrich
Tomba.io
Discontinued, still offered
No shut-down product was recommended here.