Estimate unit cost for LLM batch processing using workload inputs you can replace with measurements from your own model and serving environment. The calculator shows the primary planning result together with supporting capacity or cost figures, so you can compare demand, operating assumptions, and available resources. It runs entirely in your browser and does not send workload data to a server.
Batch cost = input tokens × input rate + output tokens × output rate + overhead. Cost per task = batch cost ÷ records.
Every rate is applied in the unit shown beside its input. Values are calculated without intermediate rounding; displayed results are rounded for readability.
The main result is a planning estimate of unit cost for the stated batch processing assumptions. Supporting values expose the capacity, reserve, time, or cost components behind that estimate.
This calculator is an engineering estimate, not a guarantee. Benchmark the exact model, hardware, provider, and prompt distribution before production sizing or procurement.
For 10,000 records with 800 input tokens at $1/M and 200 output tokens at $4/M, token cost is $16. Adding $25 overhead gives $41 total, or $0.0041 per task.
Use observed averages from the same model, hardware, prompt mix, and serving configuration whenever possible. Planning inputs are only as reliable as the measurements supplied.
Only overhead represented by the visible inputs is included. Add a conservative allowance or use measured end-to-end values when queueing, model loading, storage, or orchestration is material.
Yes for an initial budget, but also test separate high-volume and long-context scenarios because averages can hide peak resource demand.
LLM performance and pricing depend on model size, hardware, precision, batching, provider, and prompt mix, so a universal benchmark would be misleading.
Run a representative load test, compare observed totals with the estimate, and update the inputs before making a production capacity or purchasing decision.
| Variable | How to use it |
|---|---|
| Records per batch | Billable records in the batch. |
| Input tokens per record | Average uncached input tokens. |
| Output tokens per record | Average generated tokens. |
| Input price per million tokens | Enter the applicable provider or internal rate. |
| Output price per million tokens | Enter the applicable provider or internal rate. |
| Batch overhead | Storage, orchestration, validation, or fixed run cost. |