Fine-Tuning Cost Calculator
Estimate the training bill for fine-tuning a model.
Fine-tuning is priced on how many tokens the model reads while it trains, not on inference, so a big dataset over several epochs can cost more than you expect. This llm fine-tune pricing tool multiplies your training tokens by the number of epochs and the provider's training rate to give a live figure. Pick an example rate or type your own, and see the model fine-tuning price before you upload a dataset and kick off a run you cannot easily stop.
Your training run
Fine-tuning cost
$9.00
3,000,000 training tokens at $3/1M
- Training tokens
- 3,000,000
- Epochs
- 3
- Rate / 1M
- $3
- Per epoch
- $3.00
Training is billed separately from inference, and rates vary by provider and model — the presets are examples, updated January 2026. This covers the training run only; running the fine-tuned model afterwards is charged per token like any other model. Verify the current rate before you train.
How it works
- 1
Enter your training tokens
Put in the total tokens in one pass over your training file — every prompt and completion. A rough count from a token counter on a sample, scaled up, is fine.
- 2
Set epochs and rate
Choose how many passes over the data (3–4 is common) and pick a training rate. The presets are example public rates; switch to custom if your provider differs.
- 3
Read the training cost
The headline is the one-time training bill. The stats show total training tokens and per-epoch cost, so you can judge whether fewer epochs or less data would still do the job.
Instant & 100% private — nothing is uploaded
Every calculation runs locally in your browser. The prompts, token counts and numbers you enter stay on your own device and are never sent to a server — nothing is stored, logged or shared.
Frequently asked questions
- How is the training cost estimator calculated?
- It multiplies training tokens by epochs to get the total tokens the model reads, then multiplies by the training rate per million tokens. More epochs means the model sees the data more times, so the cost scales linearly with them.
- Is running the fine-tuned model extra?
- Yes. This is the one-time training cost only. Once trained, the model is billed per token at inference like any other model, sometimes at a higher rate than the base model, so factor ongoing usage in separately.
- Why are the rates only examples?
- Fine-tuning prices vary by provider and base model and change often. The presets are illustrative — always confirm the current training rate on the provider's pricing page and drop it into the custom field for an accurate quote.
- How many epochs should I use?
- Most providers default to three or four. More epochs can improve fit but risk overfitting and cost proportionally more. Start low, evaluate, and only add epochs if the validation results justify the extra spend.
Important
For planning and estimates only. Prices come from a published rate table dated on the page; providers change pricing without notice, and token counts here are approximations. Confirm against the provider’s own pricing before you budget or commit.
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