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Home/Best AI for Spreadsheets
Top recommendationAnalysis Guide

Best AI for Spreadsheets

GPT-5.2 Mini is the best AI for spreadsheets for most teams because it gives strong enough technical help without forcing spreadsheet-heavy workflows onto premium-model pricing.

Last verified Aug 1, 2026/Model data modified Aug 1, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
OpenAIBalanced
Input cost
$1.20/1M
Context
128k tokens
Speed
Fast

Clear recommendation block

The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.

Best overall model

GPT-5.2 Mini

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Why this recommendation

GPT-5.2 Mini is the safest overall answer here when you want the strongest default instead of the lowest list price.

OpenAIBalanced
Best for
Budget technical workflows and high-volume product integrations
Price
$1.20/1M
Context
128k tokens
Best budget model

Mistral: Mistral Nemo

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Why this recommendation

Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.

MistralBudget
Best for
Teams needing a cheap, fast, multilingual workhorse for classification, summarization, or light coding tasks at scale.
Price
$0.02/1M
Context
131k tokens
Best for speed

Gemini 3.1 Flash

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Why this recommendation

Gemini 3.1 Flash is the better pick when response speed matters more than maximum reasoning depth.

GoogleBudget
Best for
High-volume everyday AI usage where speed and cost both matter
Price
$0.50/1M
Context
1M tokens

Why this page recommends it

GPT-5.2 Mini is the best value spreadsheet model in this directory.

GPT-5.4 is stronger for harder logic, ambiguous business questions, and riskier outputs.

Gemini 3.1 Flash is a reasonable lower-cost fallback for simpler spreadsheet support.

Decision notes

Use GPT-5.2 Mini for formulas, table cleanup, and recurring spreadsheet help.

Use GPT-5.4 when spreadsheet work turns into broader decision analysis.

Use Gemini when price sensitivity matters more than technical edge cases.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.

#1GPT-5.481 pts
#2Gemini 3.1 Flash77 pts
#3GPT-5.2 Mini68 pts
#4Mistral Large 266 pts
Quality first

GPT-5.4

OpenAI / Premium / Jul 15, 2026

81

Best for agentic automation and desktop control workflows.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$0.20/1M
$15.00/1M out
Speed
Balanced
3/100 score
Context
272k tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You need the highest current coding benchmark scores — Claude Opus 4.7 and GPT-5.5 are newer premium picks.

Recommended comparisons

The fastest way to see where the recommendation shifts when your priority changes.

OpenAIBalancedTop recommendation

GPT-5.2 Mini

Solid OpenAI budget option, though Gemini Flash offers better value.

Best use case
Budget technical workflows and high-volume product integrations
Input
$1.20/1M
Pricing
Balanced
Speed
Fast
Context
128k tokens
Budget codingFastOpenAI
OpenAIPremiumOption 2

GPT-5.4

Best for agentic automation and desktop control workflows.

Best use case
Agentic workflows, desktop automation, and complex multi-step reasoning
Input
$0.20/1M
Pricing
Premium
Speed
Balanced
Context
272k tokens
AgenticDesktop controlReasoning
GoogleBudgetOption 3

Gemini 3.1 Flash

Best cheap AI for broad day-to-day work — now with 1M context.

Best use case
High-volume everyday AI usage where speed and cost both matter
Input
$0.50/1M
Pricing
Budget
Speed
Very fast
Context
1M tokens
Best budgetFast1M context
MistralBalancedOption 4

Mistral Large 2

Best balanced generalist for EU teams with data residency needs.

Best use case
Balanced team usage with EU data residency requirements
Input
$2.00/1M
Pricing
Balanced
Speed
Balanced
Context
128k tokens
EU hostingBalancedTeam default

Pros

Cheaper than flagship models without becoming toy-grade

Good for edits, summaries, and repetitive operational prompts

Fast enough for embedded product experiences

Cons

Weaker on nuanced reasoning than premium models

Gemini 3.1 Flash is now cheaper with a larger context window

Explore related decisions

Analysis Guide
Best AI for Data AnalysisChoose the best AI for data analysis based on reasoning quality, synthesis, spreadsheet support, and whether the model can turn messy numbers into useful…Read guide
Analysis Guide
Best AI for AnalystsCompare the best AI for analysts based on synthesis, data interpretation, framework thinking, and turning source material into sharper takeaways.Read guide
Beginner Guide
Which AI Is Best for Beginners?Find the best AI for beginners based on simplicity, price, reliability, and what you actually want to use AI for first.Read guide
Pricing
AI API pricing comparisonInput and output cost per million tokens for every model, updated when providers change prices.Read guide

Quick links

Browse all modelsCompare pricingView GPT-5.2 MiniView GPT-5.4View Gemini 3.1 Flash

How we evaluate AI models

UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.

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FAQ

What is the best AI model right now?

The top-ranked model in this directory changes as new models launch and prices shift. Check the recommendation at the top of this page for the current best pick.

Which AI is best for coding?

The best coding model in this directory is ranked by SWE-bench score and real-world developer adoption. The current #1 is shown at the top of our coding comparison pages.

Which AI is cheapest?

The cheapest capable AI model changes as providers adjust pricing. Check our cheapest AI comparison page for the current lowest-cost option per million tokens.

Which AI is fastest?

The fastest models in the directory are ranked by speed score. Check our fastest AI page for the current top picks by latency and throughput.

Which AI is best for business use?

Most businesses get the best results pairing one premium model for quality work with one budget model for volume — rather than forcing a single model to do everything.