Explore projected costs for the upcoming GPT-6 and Gemini 4 models in our detailed guide.
Formula
const inferenceFactor = inputs.inferenceCostFactor === 'Low' ? 0.8 : (inputs.inferenceCostFactor === 'Medium' ? 1.0 : 1.2); const totalCost = inputs.trainingComputeCost + inputs.dataAcquisitionCost + (inputs.developmentTimeMonths * 1000000 * inferenceFactor); const costPerParam = totalCost / (inputs.modelSizeParameterCountBillions * 1000000000); return { totalProjectedCost: totalCost, costPerParameter: costPerParam };Training Compute Cost (USD)
10,000,000
Data Acquisition & Preparation Cost (USD)
5,000,000
Model Size (Billions of Parameters)
175
Inference Cost Factor
Medium
Development Time (Months)
12
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Projected Costs for GPT-6 and Gemini 4 estimates Total Projected Cost (USD), Cost per Parameter (USD) from Training Compute Cost (USD), Data Acquisition & Preparation Cost (USD), Model Size (Billions of Parameters), Inference Cost Factor. Use it to compare scenarios and understand which inputs drive the biggest changes. Results are directional estimates — verify with current, authoritative sources before making financial, legal, or health decisions.
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The estimate combines Training Compute Cost (USD), Data Acquisition & Preparation Cost (USD), Model Size (Billions of Parameters) and returns Total Projected Cost (USD), Cost per Parameter (USD).
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