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Best AI model for Excel

For Excel and spreadsheets, GPT-6 Astra scores highest on the current data (85.0), weighting reasoning 40%, math 30%, instruction following 30%. The cheapest model in the top 10 is Gemini 3.8 Flash at $0.75 / $3.75 per million tokens.

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Weights: Reasoning 40%, Math 30%, Instruction Following 30%. Spreadsheet work needs exact formulas and careful step-by-step logic.

Best AI model for Excel
#ModelProviderFitReasoningMathInstruction FollowingInput $/MOutput $/M
1GPT-6 AstraOpenAI85.085.193.576.3$10$50
2GPT-6.1 SolOpenAI84.081.993.777.0$2$10
3Claude Opus 5.5Anthropic83.680.291.880.0$4$20
4Claude Fable 5.1Anthropic81.376.789.679.2$10$50
5Claude Fable 5Anthropic80.976.888.578.6$10$50
6Claude Opus 5Anthropic80.577.286.279.2$5$25
7GPT-5.6 SolOpenAI78.974.885.677.7$4$20
8GPT-6 SolOpenAI78.174.087.274.5$2$10
9GPT-5.5OpenAI76.972.881.777.5$5$30
10Gemini 3.8 FlashGoogle73.876.965.378.0$0.75$3.75
11Claude Opus 4.8Anthropic72.664.778.477.4$5$25
12Gemini 3.7 FlashGoogle72.270.069.677.7$0.75$3.75
13GPT-5.6 TerraOpenAI71.760.781.676.4$2$12
14Claude Sonnet 5.5Anthropic71.454.087.978.3$2$10
15Kimi K3 (open weights)Moonshot AI70.863.074.277.7$3$15
16Gemini 3.1 Pro PreviewGoogle70.471.762.177.0$2$12
17GPT-5.4OpenAI69.961.873.577.1$2.50$15
18Grok 4.6xAI67.361.467.075.4$2$6
19Qwen3.8 MaxAlibaba (Qwen)67.054.473.277.6$2$6
20Muse Spark 1.3Meta66.854.073.177.5$1.25$4.25
21Gemini 3.5 FlashGoogle66.462.860.777.0$1.50$9
22Claude Opus 4.6Anthropic65.857.863.079.5$5$25
23GPT-5.6 LunaOpenAI65.047.677.775.6$0.20$1.20
24Claude Opus 4.7Anthropic65.053.866.778.4$5$25
25DeepSeek V4 Pro (open weights)DeepSeek64.956.564.876.1$0.66$1.98

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Top two head to head: GPT-6 Astra vs GPT-6.1 Sol

Frequently asked questions

What is the best ai model for excel?

For Excel and spreadsheets, GPT-6 Astra scores highest on the current data (85.0), weighting reasoning 40%, math 30%, instruction following 30%. The cheapest model in the top 10 is Gemini 3.8 Flash at $0.75 / $3.75 per million tokens.

How is this shortlist built?

Spreadsheet work needs exact formulas and careful step-by-step logic. Each model's category scores are blended with those weights; only ranked models with results in every needed category are listed.

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