Updated October 2026

Best AI for Data Analysis

Reading CSVs, writing SQL, building Excel formulas, explaining what the numbers mean.

Compare them in MultipleChat

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.

Best overall

Claude wins for data analysis

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.

Try this prompt

Here's a CSV preview and the question I'm trying to answer. Write the SQL/pandas to answer it. Then describe what the result will tell us, what it won't, and the single most likely artefact to be wary of. Preview: [paste]

ChatGPT, Claude, Gemini and Grok, ranked

1

Claude (Anthropic) recommended

Score 9.3/10

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.

2

ChatGPT (OpenAI)

Score 9.0/10

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.

3

Gemini (Google)

Score 8.6/10

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.

4

Grok (xAI)

Score 7.8/10

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.

What we actually measure for data analysis

Code correctness

Does the SQL/pandas actually run on your schema?

Caveat awareness

Does it flag biases, sample issues, edge cases?

Commentary quality

Can it explain what the numbers mean to a non-analyst?

Integration

Can it run code on your file, or only describe what the code would do?

FAQ

Best AI for SQL?

Claude for writing the query. To run an analysis on an uploaded file, use ChatGPT or Claude with MultipleChat's sandbox.

Best AI for Excel formulas?

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.

Will AI miss obvious data issues?

Sometimes. Always ask explicitly: 'What's the most likely artefact?' — they all do better with a prompt nudge.

Can AI replace an analyst?

Not the judgement. It compresses the data-engineering tail; the question of which analysis to run is still yours.

Ask the same data question four ways.

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.

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Also see: Best AI for math · Which AI should I use? (quiz) · Best AI for other tasks · AI for your profession

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