How much does GPT-4 fine-tuning cost?

GPT-4 fine-tuning costs $25/1M training tokens. A dataset of 100K examples with 500 tokens each costs $1,250 per epoch. Fine-tuned inference costs $45/1M input and $135/1M output tokens.

How many examples do I need to fine-tune GPT-4?

OpenAI recommends starting with 50–100 high-quality examples for simple tasks. Complex tasks may require 1,000+ examples. Quality matters far more than quantity.

Is fine-tuning GPT-4 worth it vs prompt engineering?

Fine-tuning is worth it when: you need consistent format/style, system prompts are very long (cost saving), or task-specific accuracy requires it. For most tasks, prompt engineering is cheaper.

GPT-4 Fine-Tuning Cost Calculator

Calculate the cost of fine-tuning GPT-4 via the OpenAI API. Training costs $25/1M tokens; estimate dataset size, epochs, and total project cost.

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 of fine-tuning GPT-4 via the OpenAI API. Training costs $25/1M tokens; estimate dataset size, epochs, and total project cost. Use the gpt-4 fine-tune cost result to inform your calculation.

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Frequently Asked Questions

How much does GPT-4 fine-tuning cost?

How many examples do I need to fine-tune GPT-4?

Is fine-tuning GPT-4 worth it vs prompt engineering?