Zero of fourteen models named Looker Studio first on the direct prompt; two named Tableau. Looker Studio was named by thirteen of the fourteen models and Tableau by fourteen and Looker Studio carries 29 labels and Tableau 63, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. Named in six categories this edition.
Named in six 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, Looker Studio and Tableau were named in the same answer sixty-nine times, of the 126 answers naming Looker Studio and the 242 naming Tableau. In those answers Tableau took the first choice one time and Looker Studio twenty-four.
| 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 seven in this category shown.
“Free Looker Studio for business-critical, tightly governed BI... check whether its permissions and administration meet your requirements” GPT-6 Luna · negative prompt · soft negative
“Looker Studio (Free, easy to hook up to Google products, but lacks governance)” Gemini 3.5 Flash · paraphrase prompt · soft negative
“Overly Basic/Freemium Visualization Tools (Avoid for Scaling Businesses)” Gemini 3.5 Flash · negative prompt · soft negative
“If your goal is to spend exactly $0 and you do not want to manage servers or databases, Google Looker Studio ... is the easiest and most accessible option.” Gemini 3.5 Flash · budget prompt · first choice
“Google Looker Studio (formerly Google Data Studio) stands out as the best business intelligence and dashboard tool for a company with a limited budget.” Grok 4.20 · budget prompt · first choice
“Looker Studio is best for budget-conscious businesses primarily using Google tools ... and is free and works well with Google products” Claude Haiku 4.5 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Avoid investing in massive enterprise platforms (like full-scale Tableau Server... Avoid implementing any self-service tool (Tableau, Power BI, Sisense) without establishing data governance” Qwen 3.7 Flash · negative prompt · soft negative
“Performance/scalability: Struggles with very large datasets... When to avoid: High-volume data without IT support or strict budgets.” Grok 4.20 · negative prompt · soft negative
“If your team cannot absorb a steep learning curve or you need heavy in-tool data transformation rather than dedicated ETL.” Perplexity Sonar · negative prompt · soft negative
“Salesforce Shop? $\rightarrow$ Tableau. Since Salesforce acquired Tableau, it is the de facto standard for Salesforce-centric orgs.” Qwen 3.7 Flash · scale prompt · first choice
“starting with Looker Studio (if budget-conscious) or Tableau (if you need robust analytics)” MiniMax M2.5 · paraphrase prompt · first choice
“Power BI and Tableau dominate for general-purpose BI with strong visualization.” GLM 4.7 FlashX · 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.