Every token your Mac generates for a consumer request earns you a share of that request’s billing. Darkbloom charges consumers per million tokens — input and output priced separately — and credits the full amount to your account. There is no platform fee deducted from provider earnings.Documentation Index
Fetch the complete documentation index at: https://docs.darkbloom.dev/llms.txt
Use this file to discover all available pages before exploring further.
How pricing works
Billing is per token and varies by model. Larger, higher-quality models command higher rates. The current rates for the models available on the network are:| Model | Input | Output |
|---|---|---|
| Gemma 4 26B 8-bit | $0.065 / 1M tokens | $0.20 / 1M tokens |
| Qwen3.5 27B Claude Opus 8-bit | $0.10 / 1M tokens | $0.78 / 1M tokens |
| Qwen3.5 122B MoE 8-bit | $0.13 / 1M tokens | $1.04 / 1M tokens |
| MiniMax M2.5 8-bit | $0.06 / 1M tokens | $0.50 / 1M tokens |
Checking your earnings
From the CLI
From the web console
Log in at darkbloom.dev and navigate to the Earn section. The dashboard shows your balance, a usage graph over time, and the full payout history with filtering by date and model.From the leaderboard API
The network publishes a public leaderboard of provider earnings:Withdrawing your earnings
Darkbloom uses Stripe Connect for payouts. To set up withdrawals:Connect a payout method
Go to the Earn section of the web console and click Set up payouts. This opens the Stripe Connect onboarding flow where you can link a bank account or debit card.
Request a withdrawal
Once your payout method is connected, click Withdraw and enter the amount. Stripe processes the transfer to your bank account or card.
Withdrawals require your device to be linked to your account. If you have not run
darkbloom login, earnings are tracked locally but cannot be withdrawn until the machine is linked.Maximising earnings
A few factors affect how much your machine earns:- Uptime — the more hours your provider is running and connected, the more requests it can serve. Consider using scheduling to serve during hours when your Mac would otherwise be idle.
- Model choice — higher-value models (like Qwen3.5 122B or MiniMax M2.5) earn more per token. If your hardware has the memory headroom, serving a larger model can significantly increase earnings per request.
- Hardware — Macs with more unified memory and higher memory bandwidth serve requests faster, which means higher throughput and more tokens per hour.