Data clean rooms for small business buyers
Asked as “data clean room”, and as “privacy-safe data collaboration platform”, on behalf of a small B2B company. 61 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories: how the two compare.
Standing · first-choice share
26%
Contested · Crossbeam 15%
26AWS Clean Rooms15Crossbeam08Google Ads Data Hub51others
26% of first choices, contested.
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.
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 rateLabelsQuadrant
Show the three products at 0%, ordered by negative rate
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.
Google Ads Data Hub is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models five times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
Head to head
All twenty-eight head-to-head pages: the top eight products, each against each
Snowflake Data Clean Rooms vs Google Ads Data HubSnowflake Data Clean Rooms vs DecentriqSnowflake Data Clean Rooms vs Databricks Clean RoomsSnowflake Data Clean Rooms vs HabuAWS Clean Rooms vs Amazon Marketing CloudAWS Clean Rooms vs InfoSumAWS Clean Rooms vs Google Ads Data HubAWS Clean Rooms vs DecentriqAWS Clean Rooms vs Databricks Clean RoomsAWS Clean Rooms vs HabuAmazon Marketing Cloud vs InfoSumAmazon Marketing Cloud vs Google Ads Data HubAmazon Marketing Cloud vs DecentriqAmazon Marketing Cloud vs Databricks Clean RoomsAmazon Marketing Cloud vs HabuInfoSum vs Google Ads Data HubInfoSum vs DecentriqInfoSum vs Databricks Clean RoomsInfoSum vs HabuGoogle Ads Data Hub vs DecentriqGoogle Ads Data Hub vs Databricks Clean RoomsGoogle Ads Data Hub vs HabuDecentriq vs Databricks Clean RoomsDecentriq vs HabuDatabricks Clean Rooms vs Habu
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 →
A01
02G03
04A05
O06
07M08
09
10
11H12
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01AWS Clean Rooms26%
02Crossbeam15%
Crossbeam15%03Google Ads Data Hub8%
04Snowflake Data Clean Rooms5%
Snowflake Data Clean Rooms5%05Amazon Marketing Cloud5%
06Optable2%
07Decentriq2%
Decentriq2%08Meta Advanced Analytics2%
09LiveRamp Clean Room2%
LiveRamp Clean Room2%10Databricks Clean Rooms0%
Databricks Clean Rooms0%11InfoSum0%
InfoSum0%12Habu0%
What they warned about
Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX 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.
LiveRamp Clean Room57%
17 of 30 labels negative · 8 of 14 models · 4 hard negative
“Enterprise-Focused Platforms like LiveRamp Clean Room, InfoSum, or Habu (now Liveramp)... Tailored for large-scale marketers with massive media spends” Grok 4.1 Fast, negative prompt
Snowflake Data Clean Rooms28%
13 of 47 labels negative · 8 of 14 models · 2 hard negative
“Avoid Snowflake's Global Data Clean Room, Databricks Clean Rooms, or AWS Clean Rooms unless you have a dedicated data engineer on staff.” Gemini 3.5 Flash, paraphrase prompt
InfoSum52%
15 of 29 labels negative · 7 of 14 models · 5 hard negative
“Enterprise-Focused Platforms like LiveRamp Clean Room, InfoSum, or Habu (now Liveramp)... Pricing is opaque and custom” Grok 4.1 Fast, negative prompt
Habu
62%
10 of 16 labels negative · 6 of 14 models · 4 hard negative
“What to Avoid - **Habu** and **InfoSum** are powerful but historically built for enterprises... poor fits for small teams” Kimi K2, comparative 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
81 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. 1115 links across 235 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.
38 answers · 40 citations · 12 models
36 answers · 55 citations · 10 models
vendor site · Decentriq36 answers · 40 citations · 12 models
vendor site · Guideflow34 answers · 34 citations · 11 models
vendor site · SourceForge33 answers · 49 citations · 12 models
vendor site · Amazon Web Services27 answers · 36 citations · 11 models
27 answers · 27 citations · 11 models
vendor site · Funnel25 answers · 25 citations · 11 models
vendor site · LiveRamp23 answers · 29 citations · 11 models
21 answers · 39 citations · 10 models
21 answers · 25 citations · 9 models
vendor site · Snowflake19 answers · 25 citations · 9 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 · 12 models
34 answers · 12 models
34 answers · 11 models
32 answers · 10 models
27 answers · 10 models
26 answers · 11 models
25 answers · 11 models
20 answers · 11 models
20 answers · 8 models
18 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 data clean room”, “data clean room”. 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 | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| AWS Clean Rooms | 26% | 720 | 4 | ||||
| Google parent site Google Ads Data Hub 8%, Google BigQuery Data Clean Rooms 5%, Google Cloud BigQuery Data Clean Rooms 2%, Google Ads 2% | 16% | 167 | 550,000 | 15,818 | |||
| Crossbeam crossbeam.com | 15% | 46 | 5,400 | 97 | 4,256 | 3 | |
| Snowflake Data Cloud snowflake.com Snowflake Data Clean Rooms 5% | 5% | 152 | 390 | 11 | 718,749 company | 118 | 6 |
| Amazon parent site Amazon Marketing Cloud 5% | 5% | 60 | 151,000,000 | 1,380,939 | |||
| Proton Workspace proton.me Proton Workspace 2%, Proton for Business 2% | 3% | 3 | 3,125,854 | 120 | |||
| Optable | 2% | 390 | 16 | ||||
| Decentriq decentriq.com | 2% | 86 | 170 | 1 | 911 | 2 | |
| Google cloud.google.com BigQuery 2% | 2% | 248 | 22,200 | 2,048 | 7,405,347 | ||
| Meta parent site Meta Advanced Analytics 2% | 2% | 35 | 90 | 0 |
Google's top ten for the two searches hold 16 sites; 3 of them are among the sites the models cited here (decentriq.com, liveramp.com, snowflake.com). The first result for “best data clean room” is gartner.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 data clean room for a small B2B company?”Paraphrase“Which privacy-safe data collaboration platform would you recommend to a small business that sells to other businesses?”Comparative“What are the top data clean rooms for a small team and how do they differ?”Budget-constrained“What is the best data clean room for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a data clean room. What should we look at?”Negative“Which data clean rooms should a small business avoid or be cautious about?”
Claude Haiku 4.5Crossbeam, Tye.ioagainst: Amazon AMC, Google ADHDatabricks Delta Sharing, OmnisientChangedAppsFlyer, Optableagainst: LiveRamp Clean RoomAmazon AMC, Google ADH, Meta AA, TikTok PrivacyGono first choicenothing named
Three alternatives
Decentriq, InfoSum, LiveRamp Clean RoomTwo alternatives
Fortra Secure Collaboration, Snowflake Cross-Cloud SnowgridFour alternatives
Decentriq, Habu, InfoSum, Snowflake Data Clean RoomsThree alternatives
AppsFlyer, BigQuery, OptableGPT-5.4 miniAWS Clean Rooms, Snowflake Data Clean RoomsSnowflake Data Clean RoomsChangedSnowflake Data Clean RoomsAWS Clean Roomsno first choiceagainst: AWS Clean Rooms
Four alternatives
AWS Clean Rooms, Habu, InfoSum, LiveRamp Clean RoomThree alternatives
Amazon Marketing Cloud, Crossbeam, Google Ads Data HubGemini 3.5 FlashCrossbeamagainst: Decentriq, InfoSum, LiveRamp Clean RoomCrossbeamHeldagainst: AWS Clean Rooms, Databricks Clean Rooms, LiveRamp Clean Room, Snowflake Data Clean RoomsCrossbeam, Optableagainst: Databricks Clean Rooms, InfoSumAWS Clean Roomsagainst: Datasite, Decentriq, Habu, InfoSum, Intralinks, LiveRamp Clean Roomno first choiceagainst: AWS Clean Rooms, Google Ads Data Hub, Habu, InfoSum, LiveRamp Clean Room, Meta Advanced Analytics, Snowflake Data Clean Rooms
Four alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Snowflake Data Clean RoomsThree alternatives
Decentriq, Karlsgate, OptableTwo alternatives
Habu, Snowflake Data Clean RoomsNine alternatives
Amazon Marketing Cloud, DocSend, Google Cloud BigQuery Clean Rooms, Karlsgate, Meta Advanced Analytics, Papermark, Snowflake Data Clean Rooms, TikTok PrivacyGo, Visible.vcFour alternatives
AWS Clean Rooms, Decentriq, LiveRamp Clean Room, Snowflake Data Clean RoomsPerplexity SonarCrossbeamAWS Clean RoomsChangedagainst: LiveRamp Clean RoomAWS Clean Rooms, Snowflake Data Clean RoomsAmazon Marketing Cloud, Google Ads Data Hubno first choicenothing named
Three alternatives
AWS Clean Rooms, LiveRamp Clean Room, Snowflake Data Clean RoomsTwo alternatives
InfoSum, Snowflake Data Clean RoomsFour alternatives
Decentriq, Google Cloud BigQuery Data Clean Rooms, LiveRamp Clean Room, OptableThree alternatives
AWS Clean Rooms, AppsFlyer, OptableGrok 4.1 FastAWS Clean Roomsagainst: LiveRamp Clean RoomAWS Clean RoomsHeldAWS Clean Rooms, Google Cloud BigQuery Data Clean Roomsagainst: InfoSum, TealiumAWS Clean Roomsagainst: Decentriq, LiveRamp Clean RoomBigQueryagainst: Amazon Marketing Cloud, Ansarada, Datasite, Google Ads Data Hub, Habu, InfoSum, Intralinks, LiveRamp Clean Room, Snowflake Data Clean Rooms
Three alternatives
Google BigQuery Data Clean Rooms, Placino, Snowflake Data Clean RoomsThree alternatives
Google Cloud Data Clean Rooms, Omnisient, TresoritTwo alternatives
Optable, Snowflake Data Clean RoomsFive alternatives
Amazon Marketing Cloud, Google BigQuery Data Clean Rooms, Optable, Placino, Snowflake Data Clean RoomsFour alternatives
AWS Clean Rooms, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsMistral SmallDecentriqSync.com for TeamsChangedAmazon Marketing Cloud, Google Ads Data Hubno first choiceSnowflake Data Clean Roomsnothing named
Two alternatives
Box, Proton DriveOne alternative
AppsFlyerOne alternative
Google Analytics 4One alternative
Google Ads Data HubDeepSeek V4 FlashAWS Clean Rooms, Google BigQuery Data Clean RoomsCrossbeamChangedagainst: Habu, Snowflake Data Clean RoomsAWS Clean Rooms, Google Cloud BigQuery Data Clean Roomsagainst: LiveRamp Safe HavenGoogle BigQuery Data Clean Roomsagainst: Datasite, Habu, InfoSum, Intralinks, Safe Haven, Snowflake Data Clean Rooms, iDealsAmazon Marketing Cloud, Google Ads Data Hubagainst: InfoSum, LiveRamp Clean Room, Snowflake Data Clean Roomsagainst: AWS Clean Rooms, Databricks Clean Rooms, Salesforce Data 360 Clean Rooms, Snowflake Data Clean Rooms
Three alternatives
Optable, Placino, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, Google BigQuery Clean Rooms, Sync.com for TeamsThree alternatives
Decentriq, Optable, Snowflake Data Clean RoomsOne alternative
AWS Clean RoomsTwo alternatives
AWS Clean Rooms, BigQueryLlama 4 Maverickno first choiceno first choiceHeldno first choiceno first choiceno first choiceagainst: Google, Meta Advanced Analytics
Qwen 3.7 FlashAWS Clean Rooms, Google Cloud BigQuery Data Clean RoomsAWS Clean Rooms, Proton for BusinessChangedagainst: Google Workspace, InfoSum, Microsoft 365, OracleSnowflake Data Clean RoomsDigify, Meta Advantage+ Audience Insightsagainst: Snowflake Data Clean RoomsFacebook, Google Ads, Meta Advanced Analytics, TikTokagainst: LiveRamp's AuthID, Oracle's Unified Supply Chainagainst: Amazon, Databricks Clean Rooms, Google, Meta Advanced Analytics, Snowflake Data Clean Rooms, TikTok
Two alternatives
Placino, Snowflake Data Clean RoomsOne alternative
MEGA for BusinessFour alternatives
AWS Clean Rooms, Google Clean Rooms, Meta Clean Rooms, Salesforce Data 360 Clean RoomsFive alternatives
BigQuery, Box, Google Campaign Manager / GAM, Microsoft OneDrive, SharePointKimi K2AWS Clean Rooms, LiveRamp Clean RoomOptableChangedSnowflake Data Clean Roomsagainst: Habu, InfoSumGoogle Ads Data Hubagainst: Habu, InfoSum, LiveRamp Clean RoomAWS Clean Rooms, Google BigQuery Data Clean Roomsagainst: Amazon Marketing Cloud, Databricks Clean Rooms, Epsilon PeopleCloud, Google Ads Data Hub, Habu, InfoSum, LiveRamp Clean Room, Meta Advanced Analytics, Snowflake Data Clean Rooms
Two alternatives
Google Ads Data Hub, HabuFive alternatives
AWS Clean Rooms, GetShared, InfoSum, Proton Workspace, Snowflake Data SharingTwo alternatives
AWS Clean Rooms, Google BigQuery Data Clean RoomsThree alternatives
AWS Clean Rooms, Amazon Marketing Cloud, BigQuery Data Clean RoomsFour alternatives
Amazon Marketing Cloud, Google Ads Data Hub, Optable, Snowflake Data Clean RoomsGLM 4.7 FlashXCrossbeamProton WorkspaceChangedSnowflake Data Clean RoomsGoogle Ads Data Hubno first choiceagainst: Amazon Marketing Cloud, Disney, Google Ads Data Hub, Habu, InfoSum, Meta Audience Insights, NBCU
Seven alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsTwo alternatives
FileCloud, GetSharedFive alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Decentriq Data Clean Rooms, Google Cloud BigQuery Data Clean Rooms, Meta Advanced AnalyticsThree alternatives
BigQuery, BigQuery Sandbox, Snowflake Data Clean RoomsMiniMax M2.5CrossbeamCrossbeamHeldAWS Clean RoomsAmazon Marketing Cloud, Google Ads Data Hubno first choiceagainst: Amazon Ads Data Clean Room, Google Ads Data Hub, Snowflake Data Clean Rooms
Two alternatives
AWS Clean Rooms, Dun & Bradstreet Clean RoomFour alternatives
AWS Clean Rooms, InfoSum, Omnisient, Snowflake Data Clean RoomsFour alternatives
Decentriq, InfoSum Data Clean Room, LiveRamp Clean Room, Snowflake Clean RoomFour alternatives
AppsFlyer, LiveRamp Clean Room, Meta Advanced Analytics, Snowflake Data CloudGPT-6 LunaCrossbeamAWS Clean RoomsChangedSnowflake Data Clean Roomsagainst: LiveRamp Clean RoomAWS Clean Roomsno first choiceagainst: AWS Clean Rooms, Google Ads Data Hub, LiveRamp Clean Room, Snowflake Data Clean Rooms
Two alternatives
AWS Clean Rooms, Snowflake Data Clean RoomsFour alternatives
AWS Clean Rooms, Databricks Clean Rooms, Google Ads Data Hub, InfoSumTwo alternatives
Databricks Clean Rooms, Snowflake Data Clean RoomsMuse Glimmer 30BAWS Clean Roomsagainst: Decentriq, InfoSum, LiveRamp Clean Room, OptableAWS Clean RoomsHeldSnowflake Data Clean Roomsagainst: Databricks Clean RoomsAmazon Marketing Cloud, AMCagainst: AWS Clean Rooms, Habu, LiveRamp Clean Room, Optableno first choiceagainst: AWS Clean Rooms, Decentriq, InfoSum, LiveRamp Clean Room, LiveRamp Safe Haven, Snowflake Data Clean Rooms
Two alternatives
BigQuery Data Clean Rooms, Snowflake Data Clean RoomsOne alternative
InfoSumFive alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, LiveRamp Clean Rooms, OptableThree alternatives
Google Ads Data Hub, Meta Advanced Analytics, Snowflake Data Clean RoomsBold 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 | 2026-10-05 00:51 | yes | 17 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:25 | yes | 3 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:45 | yes | 14 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-04 23:31 | yes | 15 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:12 | yes | 17 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:37 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:01 | yes | 21 | 34 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:22 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:48 | yes | 9 | 47 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:34 | yes | 17 | 20 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 23:48 | yes | 20 | 62 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:19 | yes | 18 | 28 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:00 | yes | 4 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:15 | yes | 20 | 25 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:25 | yes | 16 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:44 | yes | 5 | 3 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:02 | yes | 18 | 27 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-04 23:50 | yes | 20 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:32 | yes | 24 | 10 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:31 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:17 | yes | 22 | 29 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 00:13 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:50 | yes | 19 | 114 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:58 | yes | 18 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:21 | yes | 21 | 40 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:41 | yes | 10 | 47 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:47 | yes | 3 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:07 | yes | 13 | 17 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:10 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:53 | yes | 6 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:24 | yes | 22 | 32 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-05 00:47 | yes | 18 | 3 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:51 | yes | 22 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:55 | yes | 14 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:40 | yes | 20 | 26 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:27 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:45 | yes | 15 | 67 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:34 | yes | 20 | 36 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:48 | yes | 21 | 37 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:27 | yes | 19 | 28 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:18 | yes | 6 | 26 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:19 | yes | 21 | 35 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 00:56 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:42 | yes | 2 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:33 | yes | 16 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-05 00:13 | yes | 30 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:38 | yes | 20 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:43 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:53 | yes | 22 | 27 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:43 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:42 | yes | 9 | 36 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:27 | yes | 17 | 23 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:13 | yes | 22 | 35 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:02 | yes | 13 | 16 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:17 | yes | 3 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:58 | yes | 21 | 22 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:53 | yes | 17 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:36 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 23:05 | yes | 13 | 30 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-05 00:21 | yes | 17 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:27 | yes | 15 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:18 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:59 | yes | 21 | 69 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:01 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:22 | no | 0 | 25 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:14 | yes | 13 | 20 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:04 | yes | 13 | 74 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:35 | yes | 5 | 11 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:39 | yes | 3 | 15 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:39 | yes | 14 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:24 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:53 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 23:56 | yes | 7 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-04 23:55 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:28 | yes | 18 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:22 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:18 | yes | 19 | 50 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:49 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:34 | yes | 10 | 38 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:32 | yes | 23 | 31 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:37 | yes | 17 | 46 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:25 | yes | 13 | 46 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:59 | yes | 5 | 21 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:11 | yes | 18 | 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
Databricks read as Databricks Clean Rooms
LiveRamp read as LiveRamp Clean Room
Meta read as Meta Advanced Analytics
Snowflake read as Snowflake Data Clean Rooms
Snowflake Clean Rooms read as Snowflake Data Clean Rooms
Snowflake Data Clean Room read as Snowflake Data Clean Rooms
Unresolved, counted raw
Adobe
Ads Data Hub / ADH
Advanced Analytics
Amazon Ads Data Clean Room
Amazon Marketing Cloud, AMC
BigQuery Sandbox
Conversions APIs (CAPI)
Databricks Delta Sharing
Devopsschool
Disney
Dun & Bradstreet Clean Room
Dun & Bradstreet's Clean Room
Epsilon PeopleCloud
FileCloud
Fortra Secure Collaboration
Google
Google Audience Insights
Google Campaign Manager / GAM (Google Marketing Platform)
Google Clean Rooms (formerly Partner Data Marketplace)
Google Cloud BigQuery Clean Rooms
Google Cloud BigQuery DCR
Google Cloud Data Clean Rooms
InfoSum Data Clean Room
InfoTrust (by Tag Commander)
LiveRamp's AuthID
MEGA for Business
MEGA for Small Businesses
Meta AA
Meta Advantage+ Audience Insights
Meta Clean Rooms
NBCU
Oracle
Oracle's Unified Supply Chain
Orangedox
Proton Drive
Rocket CDP
Safe Haven
Salesforce
Snowflake Cross-Cloud Snowgrid
Snowflake Data Sharing
Tye.io
Visible.vc
Discontinued, still offered
No shut-down product was recommended here.