Eleven of fourteen models named Snowflake Data Clean Rooms first on the direct prompt; one named InfoSum. Both were named by all fourteen models and Snowflake Data Clean Rooms carries 58 labels and InfoSum 38, so the shares are not directly comparable.
By Snowflake Inc., San Mateo, United States, founded 2012. Named in three categories this edition.
Named in three categories this edition.
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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the data clean rooms page.
Across every category in the November 2026 Edition, Snowflake Data Clean Rooms and InfoSum were named in the same answer ninety-one times, of the 173 answers naming Snowflake Data Clean Rooms and the 109 naming InfoSum. In those answers InfoSum took the first choice five times and Snowflake Data Clean Rooms thirty-six.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid Snowflake, LiveRamp, InfoSum, or Decentriq unless their additional identity, collaboration, or compliance capabilities justify contract and integration costs” Perplexity Sonar · budget prompt · hard negative
“What to Avoid - LiveRamp / Snowflake Data Clean Rooms: ... enterprise-grade in pricing and complexity” DeepSeek V4 Flash · paraphrase prompt · hard negative
“it isn't cost-free: usage and compute are billed, and data providers need Enterprise Edition” GPT-6 Luna · budget prompt · soft negative
“For 90% of mid-market B2B companies, the pragmatic choice is to start with your primary Cloud Data Warehouse's native DCR (typically Snowflake DCR or Databricks Clean Rooms)” Gemini 3.5 Flash · direct prompt · first choice
“AWS Clean Rooms or Snowflake Data Clean Rooms offer the best balance of capability, scalability, and cost-effectiveness for mid-market B2B companies” Kimi K2 · direct prompt · first choice
“start with Google BigQuery Data Clean Rooms or Snowflake's free trial. Both offer low barriers to entry, scalable pricing, and robust features.” MiniMax M2.5 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“the $50k–$100k+ annual licensing fee for neutral enterprise tools (e.g., LiveRamp, InfoSum) won't deliver a positive ROI” Gemini 3.5 Flash · budget prompt · hard negative
“Avoid enterprise platforms initially: Skip InfoSum, Habu, or LiveRamp” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid Snowflake, LiveRamp, InfoSum, or Decentriq” Perplexity Sonar · budget prompt · hard negative
“Prefer neutral, interoperable platforms (like Snowflake, Databricks, AWS Clean Rooms, InfoSum, or independent providers)” DeepSeek V4 Flash · negative prompt · first choice
“For broad collaboration across ecosystems: LiveRamp or InfoSum.” Grok 4.20 · comparative prompt · first choice
“Top Pick: InfoSum ... Highest level of security compliance” Qwen 3.7 Flash · direct prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.