How much does AI classification cost per 1 million items?

GPT-3.5 for classification (100 token prompt + 10 token output): ~$0.60/1M items. Claude Haiku: ~$0.26/1M items. Fine-tuned GPT-3.5: ~$0.34/1M items. Self-hosted BERT: ~$0.01/1M items.

Should I use GPT or a fine-tuned model for classification?

For >1M items/month, fine-tune a smaller model (DistilBERT, BERT). It costs 95% less than GPT-3.5 with comparable accuracy for well-defined classification tasks.

What accuracy can I expect from AI classification?

GPT-4 achieves 90-97% accuracy on most classification tasks. Fine-tuned BERT achieves 88-95%. Human baseline is typically 92-98%. Complex multi-label tasks perform lower on all models.

AI Classification Cost Per Item Calculator

Calculate the cost per item for AI text classification. Estimate costs for sentiment analysis, topic classification, intent detection, and entity extraction at scale.

AI & SaaS Tools

SaaS Metrics

AI Compute

AI ROI

LTV:CAC Ratio

ARPU ($/month)

Monthly Churn %

CAC ($)

Gross Margin %

LTV

$3500

LTV:CAC

11.67

Payback

2.9 mo

Health

Healthy ✓

Benchmark: LTV:CAC ≥ 3 is healthy. Payback under 12 months is excellent. Under 1 means you lose money on each customer.

How to Use

Enter the values for the scenario you are assessing. Calculate the cost per item for AI text classification. Estimate costs for sentiment analysis, topic classification, intent detection, and entity extraction at scale. Use the ai classification cost result to inform your calculation.

Related Calculators

GPT-3.5 Cost

AI & Tech

AI Moderation Cost

AI & Tech

AI Translation Cost

AI & Tech

AI Classification Cost Per Item Calculator

LTV:CAC Ratio

How to Use

Related Calculators

Frequently Asked Questions

How much does AI classification cost per 1 million items?

Should I use GPT or a fine-tuned model for classification?

What accuracy can I expect from AI classification?