One of twelve models named BlueConic first on the direct prompt; zero named Snowflake. BlueConic was named by nine of the twelve models and Snowflake by ten and BlueConic carries 13 labels and Snowflake 19, so the shares are not directly comparable.
Named in five categories this edition.
By Snowflake Inc., San Mateo, United States, founded 2012. Named in four categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 management platforms page.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 |
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. One of one in this category shown.
“Top Pick: BlueConic ... built explicitly for marketers to use without needing SQL or engineering support” Gemini 3.5 Flash · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Avoid Snowflake for sensitive data storage until security issues are resolved” Mistral Small · negative prompt · hard negative
“Choose Snowflake if your main goal is to build clean, fast, and secure business reports, dashboards, and standard analytics pipelines.” Gemini 3.5 Flash · comparative 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.