Best AI for Excel & Google Sheets in 2026: Claude vs Copilot vs ChatGPT vs Julius vs Gemini

Most knowledge work happens in a spreadsheet, and 2026 is the year the model vendors stopped treating that as somebody else’s problem.

Anthropic put Claude inside Excel, Word, and PowerPoint and took it to general availability on paid Claude plans, with Outlook added so a single conversation can follow you across all four. Microsoft made its own agentic Word, Excel, and PowerPoint features generally available on 22 April, and opened the model selector so you can put Claude behind Copilot instead of OpenAI. Google shipped a Gemini in Sheets that scores 70.48% on SpreadsheetBench. And the upload-based tools, ChatGPT’s data analysis and Julius, kept getting sharper at the thing they were always good at.

They are not interchangeable. Which one you want depends on whether you care most about formula correctness, staying inside your existing files, or just getting an answer out of a data dump.

Checked against vendor pages on 21 August 2026. Pricing in this category changed twice while I was writing.

Formula accuracy is the thing that breaks trust

This is the widest gap and the one most roundups skip, because testing it is tedious.

A formula that is 90% right is worse than no formula. You ship it, the number looks plausible, and three weeks later you find the nested IF swallowed an edge case. So the bar is not “can it write a SUMIFS.” Everything can write a SUMIFS. The bar is deep nesting, array logic, error handling, and not quietly breaking the cells next door.

Claude in Excel has the structural advantage here. It reads multi-tab workbooks, writes real formulas rather than pasted values, and tracks every cell it changes, so adjusting one assumption does not turn into a helpful refactor of twelve dependent cells. That failure mode is exactly what makes people stop trusting AI inside a model.

Copilot in Excel is competent and improving, and it sees your actual data and named ranges, so it references the right things more often than an upload-based tool guessing from a flat file. Its weak spot has been overconfidence on complicated array logic.

ChatGPT’s data analysis is excellent at analysis and is solving a different problem. It runs Python over a copy of your data and hands back an answer and a chart, not a formula living in your sheet. If you wanted the working spreadsheet, that is a mismatch, not a defect.

Gemini in Sheets is strong at building from scratch and fine on standard formulas. That 70.48% is the most useful number any vendor published this year, and it is on the full SpreadsheetBench set, a public benchmark of real-world spreadsheet edits. State of the art, near expert human, and still means roughly three in ten hard tasks need you.

Cleaning the ugly stuff

Inconsistent dates, merged cells, half-empty columns, three spellings of the same vendor. This is where the upload tools win and the native ones strain.

ChatGPT and Julius both run actual code against the data. Dedup, reshape wide to long, parse a free-text column into structured fields. That is a Python job and they do it cleanly. Julius pulls ahead for repeat work because it keeps your data context across a session and connects to live databases on the paid tiers, so you are not re-uploading a CSV every morning.

Gemini turning pasted notes into a clean table is genuinely good for the common case, and Fill with Gemini is quick enough on bulk cell work that Google claims a 9x speedup over typing on a hundred-cell task.

Claude and Copilot clean data too, inside the spreadsheet’s own tools, which is more limited than a code sandbox for the truly ugly cases. The trade is that the result stays in your file with no export and reimport.

Reading someone else’s workbook

Here is the underrated case. You inherit a fourteen-tab model from someone who left, and you need to work out what it does and find the reference throwing #REF.

Claude in Excel is the standout, and it is the clearest argument for a native agent. It can explain what a sheet does, trace dependencies, and point at the cell poisoning your totals, because it sees the structure rather than a flattened export.

Copilot does a respectable version of this inside your tenant. The upload tools are weakest here, and the reason is mechanical: exporting a multi-tab model to CSV throws away the inter-tab links, which is the exact information you were asking about. Structure is the information. Flattening loses it.

The single-purpose tools still have a job

Formula Bot and its relatives are faster for “I need one regex-heavy formula and I will paste it myself.” They are not trying to reason about your workbook, which for a one-off is a feature. They fall apart on anything stateful: multi-step cleaning, model audits, work that depends on the rest of the sheet. Treat them as a calculator, not an analyst.

What leaves your tenant

Easy to overlook, expensive to get wrong.

Copilot and Gemini in Sheets work inside your Microsoft or Google tenant under the data terms you already signed, which is the answer most enterprise security teams need. Claude used as a model option inside Copilot inherits Microsoft’s boundary; the Claude add-in on a Claude plan routes through Anthropic, which is a different conversation with a different team.

Upload tools mean your data goes to their service. For public or low-sensitivity data that is nothing. For PII, financials, or anything covered by a contract, check the data-handling terms for your specific plan before you paste a single row.

What it costs

• Microsoft 365 Copilot: the enterprise add-on is $30 per user per month on annual commitment, on top of an eligible base license. For organizations under 300 seats, Copilot Business is $21 per user per month as of 1 July 2026, and the bundled Business Standard and Business Premium editions with Copilot are $23.50 and $32. Copilot Chat is included at no extra cost with eligible plans and is a much smaller thing.
• Claude: the Microsoft 365 integration is included on paid Claude plans, Pro starting at $20 a month. Routing Claude through Copilot instead means you pay Microsoft, not this.
• ChatGPT Plus: $20 a month, data analysis included, Team higher per seat.
• Julius: free tier, with paid plans starting around $37 a month and database connectors on the higher tiers.
• Gemini in Sheets: bundled into Google Workspace subscriptions. Spreadsheet building started US English only and picked up other prompt languages in June.

If you already pay for Microsoft 365 or Google Workspace, the native option is the cheapest thing on the list because you are partly paying for it already. A standalone tool has to earn its line item with analysis the bundled ones cannot do.

So which one

Finance and FP&A, where a wrong number is expensive and half your work is someone else’s model: Claude in Excel. Formula integrity and workbook reasoning are the differentiators. Route it through Copilot if your organization needs the Microsoft boundary, and note that Claude Opus 5 has since shown up in the Copilot model selector across Word, Excel, PowerPoint, and Chat.

Exploratory analysis on messy exports: Julius or ChatGPT. The code sandbox handles cleaning the native tools cannot match, and you usually want the answer rather than a permanent formula. Julius when it is recurring and database-backed, ChatGPT when it is ad hoc.

Google Workspace shops and everyday use: Gemini in Sheets. Already bundled, quick from a plain-language prompt, and the ceiling is fine as long as you check the hard ones.

Already paying for Microsoft 365 and want one tool everywhere: Copilot, now with the option of Claude behind it.

None of them is good enough to trust unread. Google’s 70.48% is the most honest disclosure of the year precisely because it admits the remainder. Pick for where your data lives, then check the output the way you would check a junior analyst’s, which is to say: on the numbers that matter, every time.