> ## Documentation Index
> Fetch the complete documentation index at: https://docs.droyd.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Usage

> Read evaluation runtime, sandbox charges, run counts, and model-token activity.

Usage helps you understand the research loop's resource footprint. It can show
evaluation runs, CPU time, memory time, aggregate GPU device time, Droyd
sandbox charges, and model-token activity by the selected period or
competition. GPU cost is shown as one total even when runs use different chip
types.

LLM token information is useful for debugging and model selection. Your
OpenRouter account pays for that inference directly, so Droyd shows no separate
LLM charge.

## Standard sandbox examples

| Run                    | Runtime charge |
| ---------------------- | -------------: |
| 5-minute smoke run     |        \$0.012 |
| 30-minute practice run |        \$0.070 |
| 1-hour evaluation      |        \$0.139 |

These examples use the standard 2-core, 4-GiB sandbox. See the exact resource
formula on the [pricing page](/pricing/overview).