Eleven of fourteen models named Microsoft Power BI first on the direct prompt; one named Sigma. Microsoft Power BI was named by fourteen of the fourteen models and Sigma by eight and Microsoft Power BI carries 71 labels and Sigma 15, so the shares are not directly comparable.
By Microsoft, Vancouver, Canada, founded 1975. Named in five categories this edition.
By SIGMA COMPUTING, San Francisco. Named in two 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 dashboards and data visualization page.
Across every category in the October 2026 Edition, Microsoft Power BI and Sigma were named in the same answer thirty-two times, of the 266 answers naming Microsoft Power BI and the 35 naming Sigma. In those answers Sigma took the first choice one time and Microsoft Power BI eighteen.
| 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.
“Dataset limits and performance: Pro tier caps at 1GB, slows on large data/DAX queries... When to avoid: Non-Microsoft stacks, massive datasets” Grok 4.20 · negative prompt · soft negative
“If you are outside the Microsoft ecosystem, need platform-agnostic deployment, or don't want to invest in DAX and premium-capacity administration.” Perplexity Sonar · negative prompt · soft negative
“Why to be cautious: Power BI is incredibly powerful and cost-effective, but mostly if you are already in a Microsoft/Azure environment.” Gemini 3.5 Flash · negative prompt · soft negative
“Microsoft Shop? ... $\rightarrow$ Power BI. It integrates natively, has deep Excel integration ... usually the cheapest option” Qwen 3.7 Flash · scale prompt · first choice
“Microsoft Power BI — *Best Overall Value* ... Start with Power BI if you're cost-conscious and in the Microsoft ecosystem” Kimi K2 · direct prompt · first choice
“Power BI is almost always the default recommendation. It is widely considered the industry standard for mid-market companies” Gemini 3.5 Flash · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“go with Sigma Computing” Gemini 3.5 Flash · direct prompt · first choice
“Choose Sigma if your team lives in Excel, you use Snowflake/Databricks, and you want business users to perform heavy ad-hoc analysis on live data.” Gemini 3.5 Flash · comparative prompt · alternative
“Sisense or Sigma are particularly strong choices due to their embedded analytics capabilities” Kimi K2 · 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.