Sales intelligence and contact data for enterprise buyers
Asked as “B2B contact data and sales intelligence platform”, and as “B2B prospecting database”, on behalf of an enterprise B2B company. 49 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
67%
Consensus
67ZoomInfo12Apollo.io10Cognism10others
67% of first choices, consensus.
Since September 2026▲+1Since September 2026: 67% → 67%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.ZoomInfo held the lead, +1 point on 67%, 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.io87%Clear leader▼−9Since September 2026: 94% → 85%, −9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketApollo.io73%Clear leader▼−3Since September 2026: 76% → 73%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
ZoomInfo67%Consensus▲+1Since September 2026: 67% → 67%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
Apollo.io87%Clear leader▼−9Since September 2026: 94% → 85%, −9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketApollo.io73%Clear leader▼−3Since September 2026: 76% → 73%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseZoomInfo67%Consensus▲+1Since September 2026: 67% → 67%, +1 point. Inside the 11-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
01ZoomInfo67%27%78criticized default▲+1Since September 2026: 67% → 67%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.67% → 67%
ZoomInfo67%27%78criticized default▲+1Since September 2026: 67% → 67%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.67% → 67%02Apollo.io12%29%68criticized challenger▲+10Since September 2026: 4% → 14%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 14%
Apollo.io12%29%68criticized challenger▲+10Since September 2026: 4% → 14%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 14%03
Cognism10%12%64accepted challenger▼−4Since September 2026: 16% → 12%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 12%
Cognism10%12%64accepted challenger▼−4Since September 2026: 16% → 12%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 12%04
Seamless.AI2%64%11criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Seamless.AI2%64%11criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%Show the four products at 0%, ordered by negative rate
08
Lusha0%38%37criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Lusha0%38%37criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%06
6sense0%17%23accepted 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%17%23accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%05
LinkedIn Sales Navigator0%9%23accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
LinkedIn Sales Navigator0%9%23accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%07
Demandbase0%7%14accepted 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%7%14accepted 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 ten head-to-head pages: the top five products, each against each
One product takes 67% of first choices here, so the chart would put seven 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. Four products carry a negative rate above 25% in this category.
What they warned about
Thirteen of fourteen models held their first choice under the paraphrase. GPT-5.4 mini 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.
ZoomInfo27%
21 of 78 labels negative · 13 of 14 models · 6 hard negative
“large enterprises should be cautious about or avoid the following... **1. ZoomInfo** ... widespread complaints about billing disputes, data accuracy” Mistral Small, negative prompt
Apollo.io29%
20 of 68 labels negative · 12 of 14 models · 4 hard negative
“Apollo.io — Highest-Risk for Enterprise Adoption ... its data infrastructure doesn't hold up to the quality, compliance, and scale requirements of large enterprises.” DeepSeek V4 Flash, negative prompt
Lusha38%
14 of 37 labels negative · 9 of 14 models · 4 hard negative
“Built for individual reps and small teams, not enterprise-scale operations. The credit model doesn't scale economically for large outbound teams.” Kimi K2, negative prompt
Cognism12%
8 of 64 labels negative · 8 of 14 models · 2 hard negative
“Scaling this to thousands of users is financially prohibitive.” Gemini 3.5 Flash, budget 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
79 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. 1209 links across 263 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 · ZoomInfo56 answers · 198 citations · 11 models
vendor site · Apollo.io33 answers · 52 citations · 12 models
vendor site · Lusha32 answers · 59 citations · 12 models
vendor site · Amplemarket29 answers · 30 citations · 11 models
vendor site · Salesmotion27 answers · 38 citations · 12 models
vendor site · Cognism26 answers · 44 citations · 10 models
vendor site · Demandbase20 answers · 31 citations · 9 models
19 answers · 34 citations · 13 models
vendor site · Prospeo18 answers · 22 citations · 9 models
vendor site · HubSpot16 answers · 18 citations · 8 models
vendor site · Clay13 answers · 13 citations · 8 models
vendor site · RB2B12 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.
22 answers · 10 models
21 answers · 10 models
16 answers · 8 models
12 answers · 9 models
12 answers · 8 models
12 answers · 7 models
12 answers · 8 models
12 answers · 6 models
11 answers · 8 models
11 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 contact data and sales intelligence platform”, “best b2b contact data and sales intelligence 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 |
|---|---|---|---|---|---|---|---|---|
| ZoomInfo zoominfo.com | 67% | 846 | 135,000 | 1,810 | 6,376,738 | $1,140 | 120 | 2 |
| Apollo.io apollo.io | 12% | 1000 | 33,100 | 396 | 111,608 | 94 | 3 | |
| Cognism cognism.com | 10% | 384 | 3,600 | 68 | 48,685 | 15 | ||
| SalesIntel salesintel.io | 4% | 23 | 1,600 | 28 | 3,339 | $7 | 11 | |
| RevenueBase revenuebase.ai | 2% | 2 | ||||||
| D&B Hoovers | 2% | |||||||
| Seamless.AI seamless.ai | 2% | 65 | 14,800 | 160 | 271,504 | 82 | ||
| LinkedIn parent site LinkedIn Sales Navigator 0% | 0% | 102 | 11,100,000 | 77,031 | ||||
| 6sense 6sense.com 6sense 0%, 6sense Sales Intelligence 0% | 0% | 684 | 49,500 | 316 | 108,788 | $1,209 | 120 | |
| Demandbase demandbase.com | 0% | 672 | 5,400 | 211 | 42,531 | 34 | 6 |
Google's top ten for the two searches hold 11 sites; 4 of them are among the sites the models cited here (apollo.io, demandbase.com, g2.com, pipeline.zoominfo.com). The first result for “b2b contact data and sales intelligence platform” is autobound.ai.
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 contact data and sales intelligence platform for an enterprise B2B company?”Paraphrase“Which B2B prospecting database would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade sales intelligence and contact data platforms and how do they differ?”Budget-constrained“What is the best B2B contact data and sales intelligence 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 B2B contact data and sales intelligence platform. What should we look at?”Negative“Which sales intelligence and contact data platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5ZoomInfoZoomInfoHeldagainst: Apollo.ioZoomInfoZoomInfono first choiceagainst: Apollo.io, Demandbase, Dun & Bradstreet, Seamless.AI, ZoomInfo
Two alternatives
Apollo.io, CognismOne alternative
CognismThree alternatives
6sense, Apollo.io, CognismTwo alternatives
6sense, Apollo.ioGPT-5.4 miniZoomInfoCognismChangedZoomInfoCognismagainst: ZoomInfono first choiceagainst: Apollo.io, Lusha, RocketReach, Seamless.AI
Two alternatives
Apollo.io, CognismOne alternative
ZoomInfoFive alternatives
6sense, Apollo.io, Cognism, LinkedIn Sales Navigator, LushaOne alternative
Apollo.ioGemini 3.5 FlashZoomInfoZoomInfoHeldCognism, ZoomInfoSalesIntelagainst: Apollo.io, Cognism, ZoomInfoCognismagainst: Apollo.io, ZoomInfoagainst: Apollo.io, Kaspr, Lusha, Seamless.AI, ZoomInfo
Five alternatives
6sense, Apollo.io, Cognism, Demandbase, HubSpot Breeze IntelligenceFour alternatives
6sense, Clay, Cognism, DemandbaseThree alternatives
6sense, Apollo.io, ClayTwo alternatives
Clay, RevenueBaseThree alternatives
HubSpot Breeze Intelligence, Lusha, SalesIntelPerplexity SonarZoomInfoZoomInfoHeldZoomInfoApollo.ioagainst: ZoomInfono first choiceagainst: Apollo.io, SyncGTM, ZoomInfo, smooth.AI
Three alternatives
Apollo.io, Cognism, RB2BOne alternative
CognismSix alternatives
6sense, Clari Copilot, Cognism, Demandbase, HubSpot Sales Hub, LinkedIn Sales NavigatorOne alternative
CognismGrok 4.1 FastZoomInfoZoomInfoHeldagainst: Apollo.io, LinkedIn Sales Navigator, Salesforce Sales CloudZoomInfoApollo.ioagainst: Cognism, LinkedIn Sales Navigator, Lusha, ZoomInfono first choiceagainst: 6sense, Lusha, Seamless.AI, UpLead, ZoomInfo
Four alternatives
Apollo.io, Cognism, LinkedIn Sales Navigator, LushaOne alternative
CognismFive alternatives
6sense, Apollo.io, Cognism, LinkedIn Sales Navigator, LushaTwo alternatives
Apollo.io, ZoomInfoMistral SmallZoomInfoZoomInfoHeldZoomInfoApollo.io, Cognismagainst: ZoomInfono first choiceagainst: 6sense, Lusha, Seamless.AI, ZoomInfo
Two alternatives
Apollo.io, CognismFour alternatives
6sense, Apollo.io, Cognism, LinkedIn Sales NavigatorOne alternative
UnifyDeepSeek V4 FlashZoomInfoagainst: Apollo.io, LushaZoomInfoHeldagainst: 6senseCognism, ZoomInfoagainst: LushaD&B Hoovers, ZoomInfoagainst: Apollo.iono first choiceagainst: Kaspragainst: Apollo.io, Lusha, ZoomInfo
Three alternatives
6sense, Cognism, DemandbaseThree alternatives
Cognism, Demandbase, LinkedIn Sales NavigatorTwo alternatives
6sense, DemandbaseTwo alternatives
Bright Data, People Data LabsFour alternatives
6sense, Apollo.io, Cognism, ZoomInfoLlama 4 MaverickZoomInfoZoomInfoHeldZoomInfoZoomInfoApollo.ionothing named
Three alternatives
Amplemarket, Saleshandy Lead Finder, ZoomInfoQwen 3.7 FlashZoomInfoZoomInfoHeldagainst: Apollo.ioZoomInfoApollo.ioagainst: ZoomInfoZoomInfoagainst: 6sense, Apollo.io, Cognism
Two alternatives
Apollo.io, CognismOne alternative
CognismThree alternatives
Apollo.io, LinkedIn Sales Navigator, LushaOne alternative
CognismThree alternatives
Apollo.io, Cognism, LushaKimi K2ZoomInfoZoomInfoHeldZoomInfoSeamless.AIagainst: Cognism, D&B Hoovers, Lusha, ZoomInfoZoomInfoagainst: Apollo.io, Lusha, ZoomInfo
Three alternatives
Apollo.io, Cognism, LinkedIn Sales NavigatorThree alternatives
6sense, Cognism, DemandbaseFive alternatives
6sense, Apollo.io, Cognism, LinkedIn Sales Navigator, LushaTwo alternatives
Apollo.io, SalesIntelThree alternatives
Apollo.io, Clay, CognismGLM 4.7 FlashXZoomInfoagainst: HubSpot Sales Hub, LushaZoomInfoHeldApollo.io, ZoomInfoApollo.ioagainst: Cognism, ZoomInfono first choiceagainst: Apollo.io, Lusha, Seamless.AI
Two alternatives
Apollo.io, CognismThree alternatives
Apollo.io, Cognism, DemandbaseSix alternatives
Cognism, Demandbase, Gong, LinkedIn Sales Navigator, Lusha, SalesloftTwo alternatives
Outreach, SalesloftMiniMax M2.5ZoomInfoZoomInfoHeldZoomInfoCognism, ZoomInfono first choiceagainst: Apollo.io, Cognism, ZoomInfo
One alternative
CognismTwo alternatives
Cognism, LinkedIn Sales NavigatorThree alternatives
Apollo.io, HubSpot Breeze Intelligence, LinkedIn Sales NavigatorOne alternative
6senseGPT-6 LunaZoomInfoZoomInfoHeldApollo.io, ZoomInfo SalesOSRevenueBaseagainst: Apollo.io, Cognism, ZoomInfono first choiceagainst: Apollo.io, Lusha, ZoomInfo
Three alternatives
Apollo.io, Cognism, LinkedIn Sales NavigatorOne alternative
CognismFive alternatives
6sense Sales Intelligence, Cognism, Dun & Bradstreet Hoovers, LinkedIn Sales Navigator, LushaMuse Glimmer 30BZoomInfoZoomInfoHeldCognism, ZoomInfoSalesIntelagainst: Apollo.io, ZoomInfono first choiceagainst: Apollo.io, Cognism, Lusha, Seamless.AI, ZoomInfo
Two alternatives
Apollo.io, CognismOne alternative
LinkedIn Sales NavigatorFour alternatives
6sense, Apollo.io, Clay, LinkedIn Sales NavigatorOne alternative
graph8Bold 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 08:43 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:57 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:38 | yes | 7 | 19 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:00 | yes | 20 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:59 | yes | 24 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:46 | yes | 14 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:25 | yes | 25 | 33 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:33 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 14:07 | no | 0 | 34 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:14 | yes | 15 | 25 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:00 | yes | 15 | 19 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:30 | yes | 5 | 18 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:30 | yes | 3 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:52 | yes | 15 | 27 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:46 | yes | 10 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:40 | yes | 4 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:46 | yes | 8 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:01 | yes | 23 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:26 | yes | 24 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:52 | yes | 5 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:45 | yes | 24 | 36 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:49 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:45 | yes | 10 | 22 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:07 | yes | 20 | 22 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:13 | yes | 24 | 33 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:42 | yes | 9 | 27 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:04 | yes | 2 | 19 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:18 | yes | 15 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:15 | yes | 17 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:50 | yes | 8 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:06 | yes | 22 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:38 | yes | 16 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:33 | yes | 24 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:36 | yes | 16 | 13 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:56 | yes | 25 | 44 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 14:07 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:51 | no | 0 | 32 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:57 | yes | 23 | 33 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 14:05 | yes | 23 | 125 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:29 | yes | 12 | 24 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:38 | yes | 7 | 30 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:26 | yes | 13 | 27 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:49 | yes | 18 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:19 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:42 | yes | 20 | 29 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:20 | yes | 21 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:49 | yes | 21 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:51 | yes | 21 | 9 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:57 | yes | 25 | 40 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:18 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:26 | yes | 24 | 139 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:12 | yes | 25 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:26 | yes | 24 | 46 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:57 | yes | 23 | 53 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:39 | yes | 2 | 20 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:03 | yes | 25 | 35 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:31 | yes | 26 | 16 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:44 | yes | 0 | 13 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 14:01 | yes | 3 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 07:27 | yes | 19 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:35 | yes | 14 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:13 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:31 | yes | 25 | 63 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:41 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:32 | yes | 15 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:00 | yes | 14 | 35 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:18 | yes | 15 | 57 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:46 | no | 0 | 8 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:37 | yes | 5 | 25 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:15 | yes | 14 | 30 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:08 | yes | 19 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:40 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:44 | yes | 19 | 29 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:59 | yes | 20 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:59 | yes | 24 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:39 | yes | 15 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:02 | yes | 25 | 61 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:55 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:18 | yes | 10 | 23 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:36 | yes | 25 | 29 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:37 | yes | 25 | 37 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:20 | yes | 24 | 40 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:22 | yes | 3 | 26 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:01 | yes | 24 | 53 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
LinkedIn read as LinkedIn Sales Navigator
Saleshandy read as Saleshandy Lead Finder
Unresolved, counted raw
6sense Sales Intelligence
Dun & Bradstreet Hoovers
Discontinued, still offered
No shut-down product was recommended here.