Claude (Anthropic) recommended
Strength
Best data-pipeline code, best commentary, careful with caveats; can run code in a sandbox.
Weakness
Slower than ChatGPT for short queries.
When to use
SQL, pandas pipelines, analyst commentary.
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Reading CSVs, writing SQL, building Excel formulas, explaining what the numbers mean.
One prompt, four answers side by side: ChatGPT, Claude, Gemini and Grok in Compare Mode
Data work splits into three layers: writing code (SQL, Python pandas), explaining what a dataset says, and producing the narrative — charts and commentary — around the result. The four models cover these layers differently.
All four can read a small CSV pasted into a chat, but reading is not computing. For real analysis, have a model write the code and run it (in MultipleChat, ChatGPT and Claude can execute it in a sandbox on your uploaded file), then ask for the commentary.
Claude writes the most reliable data-pipeline code — SQL, pandas, dplyr — and writes the most readable commentary around the results. It also handles 'why are these numbers like this' questions with the most rigour.
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Strength
Best data-pipeline code, best commentary, careful with caveats; can run code in a sandbox.
Weakness
Slower than ChatGPT for short queries.
When to use
SQL, pandas pipelines, analyst commentary.
Strength
Runs code on uploaded data, so the numbers are computed rather than predicted.
Weakness
Commentary flags fewer caveats than Claude's.
When to use
End-to-end analysis inside one chat, quick CSV explorations.
Strength
Inside Google's own apps, works with Sheets and BigQuery.
Weakness
Output more verbose by default.
When to use
Google-stack workflows, Sheets-native analysis.
Strength
Punchy, direct interpretations.
Weakness
Less reliable on complex data wrangling.
When to use
Quick second opinion on an analysis you've already done.
Ranking reviewed October 2026 against each provider's current flagship models: OpenAI GPT-6.1 Sol and GPT-6 Astra, Anthropic Claude Opus 5.5 and Sonnet 5.5, Google Gemini 4 Argon and xAI Grok 4.7. Scores are our editorial judgement of typical results for data analysis, not a published benchmark.
Does the SQL/pandas actually run on your schema?
Does it flag biases, sample issues, edge cases?
Can it explain what the numbers mean to a non-analyst?
Can it run code on your file, or only describe what the code would do?
Claude for writing the query. To run an analysis on an uploaded file, use ChatGPT or Claude with MultipleChat's sandbox.
Any of the four. They all handle Excel and Sheets formulas well; ask for a one-line explanation of each part so you can check it.
Sometimes. Always ask explicitly: 'What's the most likely artefact?' — they all do better with a prompt nudge.
Not the judgement. It compresses the data-engineering tail; the question of which analysis to run is still yours.
Compare Mode sends one prompt to ChatGPT, Claude, Gemini and Grok and shows the answers in parallel columns, so you can check this ranking on your own data. The $20/month Pro plan includes all four, plus Perplexity.
See plansAlso see: Best AI for math · Which AI should I use? (quiz) · Best AI for other tasks · AI for your profession
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Use several frontier models together for stronger answers and fewer blind spots.
ComparisonCompare several AI answers side by side when the output matters.
PricingSee the AI subscription that replaces separate ChatGPT, Claude, Gemini, Grok and Perplexity accounts.
Multi-model AIRun the same prompt through available ChatGPT, Claude, Gemini and Grok models and compare their answers.
GuideChoose the best model for writing, research, coding, documents, images and business work.
AlternativeUse ChatGPT alternatives together: Claude, Gemini, Grok, Perplexity, files, web search and creation tools.