Three of twelve models named Hightouch first on the direct prompt; zero named BigQuery. Hightouch was named by eleven of the twelve models and BigQuery by nine and Hightouch carries 23 labels and BigQuery 12, so the shares are not directly comparable.
Named in six categories this edition.
By Google Cloud Platform, founded 2008. Named in three 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.
Across every category in the September 2026 Edition, Hightouch and BigQuery were named in the same answer 180 times, of the 457 answers naming Hightouch and the 222 naming BigQuery. In those answers BigQuery took the first choice thirteen times and Hightouch seventy.
| 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. Two of two in this category shown.
“Avoid ... or paid-only like Hightouch (~$350+)” Grok 4.1 Fast · budget prompt · hard negative
“Warehouse-native / composable CDPs (e.g., Hightouch, Reverse ETL tools) query your existing Snowflake/BigQuery in place — expect 30–50% cost savings” DeepSeek V4 Flash · scale prompt · first choice
No label in this category carried a quote.
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.