Three of fourteen models named Databricks Mosaic AI first on the direct prompt; two named Snowflake Cortex AI. Databricks Mosaic AI was named by fourteen of the fourteen models and Snowflake Cortex AI by nine and Databricks Mosaic AI carries 53 labels and Snowflake Cortex AI 15, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 ML platforms page.
Across every category in the November 2026 Edition, Databricks Mosaic AI and Snowflake Cortex AI were named in the same answer thirty times, of the 151 answers naming Databricks Mosaic AI and the 32 naming Snowflake Cortex AI. In those answers Snowflake Cortex AI took the first choice one time and Databricks Mosaic AI seven.
| 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 heavy enterprise tools like Databricks or full SageMaker unless you have specific needs” Grok 4.20 · budget prompt · hard negative
“Why to be Cautious: These platforms often have steep learning curves and high entry costs.” Qwen 3.7 Flash · negative prompt · soft negative
“without the complexity and cost of full enterprise solutions like Databricks or Palantir” Kimi K2 · direct prompt · soft negative
“Leaders: Databricks (Unity Catalog, MLflow)... the "big three" cloud-native platforms (AWS, Azure, GCP) or Databricks are often the safest bets” MiniMax M2.5 · scale prompt · first choice
“choose Databricks MLflow/Mosaic AI or a pure MLflow stack if you prioritize vendor neutrality, data-lake integration and lower long-term cost” Muse Glimmer 30B · paraphrase prompt · first choice
“Databricks (MLflow / Mosaic AI) - Best for organizations unifying data engineering and machine learning on a single lakehouse.” Llama 4 Maverick · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Databricks / Snowflake ML ... compute costs scale aggressively” Gemini 3.5 Flash · negative prompt · soft negative
“I'd recommend starting with Snowflake Cortex AI or Databricks as they offer the best balance of capabilities” MiniMax M2.5 · direct prompt · first choice
“Azure Machine Learning and Snowflake Cortex AI are the top choices” Mistral Small · direct prompt · first choice
“lists Snowflake Cortex AI as a strong fit for firms already standardised on Snowflake” Muse Glimmer 30B · direct prompt · alternative
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.