Data clean rooms for enterprise buyers
Asked as “data clean room”, and as “privacy-safe data collaboration platform”, on behalf of an enterprise B2B company. 45 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
38%
Contested · Crossbeam 13%
38Snowflake Data Clean Rooms13Crossbeam11AWS Clean Rooms38others
38% 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 an enterprise 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 zero 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 →
01A02
03
04
05H06
07A08
G09
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Snowflake Data Clean Rooms38%
Snowflake Data Clean Rooms38%02AWS Clean Rooms11%
03InfoSum11%
InfoSum11%04LiveRamp Clean Room9%
LiveRamp Clean Room9%05Decentriq7%
Decentriq7%06Habu2%
07Databricks Clean Rooms0%
Databricks Clean Rooms0%08Amazon Marketing Cloud0%
09Google Ads Data Hub0%
What they warned about
Two of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Google Ads Data Hub
47%
8 of 17 labels negative · 8 of 14 models · 3 hard negative
“The DCRs to avoid or be most cautious about are the **walled-garden platforms** (Google, Amazon, Meta) where the vendor has a structural conflict of interest” DeepSeek V4 Flash, negative prompt
Amazon Marketing Cloud
50%
7 of 14 labels negative · 7 of 14 models · 3 hard negative
“The DCRs to avoid or be most cautious about are the **walled-garden platforms** (Google, Amazon, Meta)” DeepSeek V4 Flash, negative prompt
Meta Advanced Analytics
67%
6 of 9 labels negative · 6 of 14 models · 2 hard negative
“The DCRs to avoid or be most cautious about are the **walled-garden platforms** (Google, Amazon, Meta)” DeepSeek V4 Flash, negative prompt
AWS Clean Rooms
16%
8 of 49 labels negative · 6 of 14 models · 1 hard negative
“Options to AVOID for Predictable Costs | **AWS Clean Rooms** | Usage-based pricing” Kimi K2, 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
78 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. 1178 links across 248 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 · Decentriq50 answers · 77 citations · 12 models
vendor site · Guideflow44 answers · 46 citations · 11 models
vendor site · LiveRamp29 answers · 42 citations · 14 models
26 answers · 27 citations · 10 models
vendor site · Snowflake25 answers · 43 citations · 11 models
vendor site · Gartner25 answers · 31 citations · 9 models
25 answers · 25 citations · 12 models
vendor site · Amazon Web Services22 answers · 30 citations · 12 models
22 answers · 28 citations · 10 models
vendor site · Snowflake20 answers · 30 citations · 10 models
18 answers · 22 citations · 12 models
18 answers · 18 citations · 10 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.
44 answers · 11 models
44 answers · 11 models
25 answers · 12 models
25 answers · 9 models
21 answers · 9 models
21 answers · 11 models
18 answers · 10 models
17 answers · 8 models
16 answers · 10 models
15 answers · 8 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 | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Snowflake Data Cloud snowflake.com Snowflake Data Clean Rooms 38% | 38% | 152 | 390 | 11 | 718,749 company | 118 | 6 | |
| Crossbeam crossbeam.com | 13% | 46 | 5,400 | 97 | 4,256 | 3 | ||
| AWS Clean Rooms | 11% | 720 | 4 | |||||
| InfoSum infosum.com | 11% | 114 | 390 | 7 | 362 | 5 | 6 | |
| LiveRamp liveramp.com LiveRamp Clean Room 9%, LiveRamp Safe Haven 0% | 9% | 109 | 18,100 | 358 | 20,494 company | $339 | 44 | 4 |
| Decentriq decentriq.com Decentriq 7%, Decentriq Data Clean Rooms 0% | 7% | 86 | 170 | 1 | 911 | 2 | ||
| Habu | 2% | 2,400 | 668 | |||||
| IBM Sterling Data Exchange | 2% | |||||||
| Kiteworks kiteworks.com | 2% | 3 | 41,774 | 9 | ||||
| Databricks Data Clean Rooms | 2% |
Google's top ten for the two searches hold 16 sites; 4 of them are among the sites the models cited here (decentriq.com, gartner.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 an enterprise B2B company?”Paraphrase“Which privacy-safe data collaboration platform would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade data clean rooms and how do they differ?”Budget-constrained“What is the best data clean room 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 data clean room. What should we look at?”Negative“Which data clean rooms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceno first choiceHeldno first choiceSnowflake Data Clean Roomsno first choicenothing named
Four alternatives
AWS Clean Rooms, Decentriq, LiveRamp Clean Room, Snowflake Data Clean RoomsSix alternatives
AWS, Databricks Clean Rooms, Decentriq, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsSix alternatives
AWS, Amazon Marketing Cloud, Google Ads Data Hub, InfoSum, LiveRamp Clean Room, Meta Advanced AnalyticsGPT-5.4 miniAWS Clean Rooms, Snowflake Data Clean RoomsSnowflake Data Clean RoomsChangedSnowflake Data Clean Roomsagainst: AppsFlyerSnowflake Data Clean Roomsagainst: AWS Clean Rooms, Databricks Clean Roomsno first choiceagainst: AWS Clean Rooms, Google's BigQuery clean rooms
One alternative
LiveRamp Clean RoomOne alternative
AWS Clean RoomsSix alternatives
AWS Clean Rooms, Google Ads Data Hub, Habu, InfoSum, LiveRamp Clean Room, OptableGemini 3.5 FlashCrossbeamSnowflake Data Clean RoomsChangedno first choiceDecentriqagainst: AWS Clean Rooms, Databricks Clean Rooms, Snowflake Data Clean Roomsno first choiceagainst: Amazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analytics
Four alternatives
Decentriq, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsFour alternatives
AWS Clean Rooms, Crossbeam, Decentriq, InfoSumSix alternatives
AWS Clean Rooms, Databricks Clean Rooms, Decentriq, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsTwo alternatives
InfoSum, TrinoSeven alternatives
AWS Clean Rooms, Decentriq, Google BigQuery Clean Rooms, Habu, InfoSum, Samooha, Snowflake Global Data Clean RoomsPerplexity SonarCrossbeamInfoSumChangedSnowflake Data Clean RoomsDecentriqagainst: AWS Clean Roomsno first choicenothing named
Four alternatives
AWS Clean Rooms, Databricks Clean Rooms, Decentriq, Snowflake Data Clean RoomsFour alternatives
AWS Clean Rooms, Databricks Clean Rooms, Decentriq, Snowflake Data Clean RoomsEight alternatives
AWS Clean Rooms, Adobe Clean Room, Amazon Marketing Cloud, Databricks Clean Rooms, Decentriq, LiveRamp Clean Room, Microsoft Azure Clean Rooms, Oracle BlueKaiOne alternative
LiveRamp Clean RoomGrok 4.1 FastAWS Clean RoomsInfoSumChangedAWS Clean RoomsSnowflake Data Clean Roomsagainst: Google Ads Data Hub, LiveRamp Clean Roomno first choiceagainst: AWS, AppsFlyer, Databricks Clean Rooms, InfoSum, LiveRamp Clean Room, Snowflake Data Clean Rooms
Two alternatives
Decentriq, Snowflake Clean RoomThree alternatives
Apheris, Decentriq, LiveRamp Clean RoomSix alternatives
Decentriq, Google BigQuery Data Clean Rooms, Habu, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsOne alternative
AWS Clean RoomsFive alternatives
AWS Clean Rooms, Databricks Clean Rooms, Decentriq, InfoSum, LiveRamp Safe HavenMistral SmallCrossbeamIBM Sterling Data Exchange, KiteworksChangedAWS Clean RoomsDatabricks Data Clean Rooms, Snowflake Data Clean Roomsagainst: InfoSum, LiveRamp Clean Roomno first choiceagainst: Amazon Marketing Cloud, Decentriq, Google Ads Data Hub, InfoSum, Meta Advanced Analytics, TikTok PrivacyGo
Three alternatives
Amazon Marketing Cloud, Decentriq, LiveRamp Clean RoomOne alternative
SecureComputeThree alternatives
Google Cloud Clean Rooms, LiveRamp Clean Room, Snowflake Data Clean RoomsDeepSeek V4 FlashCrossbeamHabuChangedno first choiceDecentriq, LiveRamp Clean Roomagainst: AWS Clean Rooms, Salesforce Data Cloud, Snowflake Data Clean Roomsno first choiceagainst: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, InfoSum, Meta Advanced Analytics, Snowflake Data Clean Rooms
Five alternatives
Databricks Clean Rooms, Habu, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsFour alternatives
AWS Clean Rooms, Decentriq, InfoSum, Snowflake Data Clean RoomsEight alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Databricks Clean Rooms, Google Ads Data Hub, InfoSum, LiveRamp Safe Haven, Salesforce Data Clean Rooms, Snowflake Data Clean RoomsOne alternative
InfoSumLlama 4 Maverickno first choiceno first choiceHeldDecentriqno first choiceno first choicenothing named
One alternative
MediarithmicsQwen 3.7 FlashLiveRamp Clean RoomMicrosoft Fabric, Snowflake Data Clean RoomsChangedno first choiceSnowflake Data Clean Roomsagainst: AWS Clean Rooms, BigQuery Clean Roomsno first choiceagainst: Amazon, Google, Meta Advanced Analytics, TikTok
Four alternatives
AWS Clean Rooms, Decentriq, InfoSum, Snowflake Data Clean RoomsTwo alternatives
Decentriq, InfoSumSix alternatives
Amazon Advertising Clean Room, Databricks Clean Rooms, Google Ads Data Hub, LiveRamp Clean Room, Meta Clean Room, Snowflake Data Clean RoomsThree alternatives
Rivalus, Tealium, UnicommerceKimi K2InfoSumInfoSum, Snowflake Data Clean RoomsChangedLiveRamp Clean RoomInfoSumagainst: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Snowflake Data Clean Roomsno first choiceagainst: BigQuery, Crossbeam, Databricks Clean Rooms, Snowflake Data Clean Rooms, Truata
Three alternatives
AWS Clean Rooms, LiveRamp Clean Room, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, Decentriq, LiveRamp Clean RoomFour alternatives
AWS Clean Rooms, Google BigQuery Data Clean Rooms, InfoSum, Snowflake Data Clean RoomsTwo alternatives
Decentriq, LiveRamp Clean RoomGLM 4.7 FlashXCrossbeamSnowflake Data Clean RoomsChangedAWS Clean Rooms, Snowflake Data Clean RoomsSnowflake Data Clean Roomsagainst: InfoSumno first choiceagainst: Amazon Marketing Cloud, Ansarada, Datasite, Decentriq, Firmex, Google Ads Data Hub, Habu, InfoSum, Intralinks, LiveRamp Safe Haven, Meta Advanced Analytics, Optable, TikTok PrivacyGo
Seven alternatives
AWS Clean Rooms, Databricks Clean Rooms, Decentriq, Google Cloud BigQuery, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsThree alternatives
Google BigQuery Data Clean Rooms, Kiteworks, WireSix alternatives
BigQuery Data Clean Rooms, Databricks Clean Rooms, Decentriq Data Clean Rooms, InfoSum Data Clean Rooms, LiveRamp Clean Room, PlacinoTwo alternatives
AWS Clean Rooms, Google BigQuery Data Clean RoomsMiniMax M2.5AWS Clean Rooms, LiveRamp Clean RoomLiveRamp Clean RoomChangedno first choiceAWS Clean Rooms, Snowflake Data Clean Roomsagainst: Amazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analyticsno first choicenothing named
Three alternatives
Decentriq, InfoSum, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, Apheris Compute Gateway, IBM Sterling Data ExchangeOne alternative
LiveRamp Clean RoomGPT-6 LunaSnowflake Data Clean RoomsAWS Clean RoomsChangedno first choiceSnowflake Data Clean Roomsno first choiceagainst: Amazon Marketing Cloud, Google Ads Data Hub
Three alternatives
AWS Clean Rooms, Databricks Clean Rooms, LiveRamp Clean RoomTwo alternatives
Databricks Clean Rooms, Snowflake Data Clean RoomsEight alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Databricks Clean Rooms, Google Ads Data Hub, Google BigQuery Data Clean Rooms, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsTwo alternatives
AWS Clean Rooms, LiveRamp Clean RoomMuse Glimmer 30BSnowflake Data Clean RoomsCrossbeamChangedno first choiceSnowflake Data Clean Roomsagainst: Databricks Clean Roomsno first choiceagainst: AWS, Databricks Clean Rooms, InfoSum, LiveRamp Clean Room, Snowflake Data Clean Rooms
Three alternatives
AWS Clean Rooms, Habu, LiveRamp Clean RoomTwo alternatives
Databricks Clean Rooms, Snowflake Data Clean RoomsOne alternative
AWS 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 00:11 | yes | 18 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:23 | yes | 5 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 23:34 | yes | 16 | 28 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-04 22:10 | yes | 15 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:16 | yes | 17 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:04 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:29 | yes | 21 | 30 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:49 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:55 | yes | 17 | 81 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:29 | yes | 10 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:23 | yes | 13 | 61 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:03 | yes | 11 | 29 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:57 | yes | 4 | 24 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:29 | yes | 17 | 30 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 00:48 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:05 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:12 | yes | 12 | 22 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-05 00:37 | yes | 31 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:00 | yes | 21 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:26 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:27 | yes | 24 | 34 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:51 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:13 | yes | 14 | 78 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:21 | yes | 20 | 45 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:50 | yes | 24 | 20 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:36 | yes | 19 | 28 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:21 | yes | 4 | 23 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:25 | yes | 24 | 25 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:16 | yes | 18 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:16 | yes | 0 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:34 | yes | 20 | 36 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-05 00:29 | yes | 15 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:19 | yes | 22 | 11 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 01:01 | yes | 23 | 28 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:39 | yes | 22 | 56 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:34 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:38 | yes | 18 | 35 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:14 | yes | 16 | 22 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 01:01 | yes | 18 | 61 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:16 | yes | 17 | 27 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:10 | yes | 8 | 30 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:37 | yes | 21 | 29 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:20 | yes | 17 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:13 | yes | 6 | 7 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:20 | yes | 23 | 36 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-05 00:30 | yes | 16 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:45 | yes | 18 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:34 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:25 | yes | 24 | 38 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 00:52 | yes | 9 | 4 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:37 | yes | 22 | 107 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:43 | yes | 23 | 42 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:51 | yes | 21 | 73 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:41 | yes | 14 | 52 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:05 | yes | 3 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:44 | yes | 22 | 33 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 00:20 | yes | 26 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:28 | yes | 5 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:03 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-04 23:32 | yes | 17 | 8 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:19 | yes | 16 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:24 | no | 0 | 11 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:46 | yes | 22 | 51 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:02 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:22 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:25 | yes | 22 | 33 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:11 | yes | 23 | 71 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:34 | yes | 5 | 17 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:38 | yes | 4 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:43 | yes | 14 | 19 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:19 | yes | 17 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:39 | yes | 5 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:35 | yes | 17 | 36 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-04 23:27 | yes | 17 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:33 | yes | 21 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:00 | yes | 10 | 8 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:21 | yes | 20 | 58 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:39 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:57 | no | 0 | 32 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:41 | yes | 23 | 29 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:24 | yes | 18 | 107 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:26 | yes | 15 | 47 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:33 | yes | 4 | 28 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:46 | yes | 21 | 30 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Databricks read as Databricks Clean Rooms
LiveRamp read as LiveRamp Clean Room
LiveRamp (Habu) read as LiveRamp Clean Room
LiveRamp (including Habu) read as LiveRamp Clean Room
LiveRamp (including Safe Haven + Habu) read as LiveRamp Clean Room
LiveRamp (now including Habu) read as LiveRamp Clean Room
LiveRamp (utilizing Habu) read as LiveRamp Clean Room
LiveRamp (which now owns Habu) read as LiveRamp Clean Room
Meta (Advan CEX) read as Meta Advanced Analytics
Meta (Facebook) 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
Snowflake clean rooms read as Snowflake Data Clean Rooms
Snowflake native clean rooms read as Snowflake Data Clean Rooms
Unresolved, counted raw
Adobe Clean Room
Amazon Advertising Clean Room
Amazon Web Services (AWS)
BigQuery Clean Rooms
Databricks Data Clean Rooms
Google
Google Cloud
Google Cloud Clean Rooms (BigQuery Data Clean Rooms)
Google LLC
Google's BigQuery clean rooms
Immuta
InfoSum Data Clean Rooms
Microsoft Azure Clean Rooms
Microsoft Azure Confidential Clean Rooms
Rivalus
Salesforce Data Clean Rooms (Data 360)
Samooha
SecureCompute
Snowflake Global Data Clean Rooms
Trino
WPP’s GroupM
Discontinued, still offered
No shut-down product was recommended here.