See what open source saves you
Compare closed-source API spend against open-source models hosted privately on the Shakudo Platform.
Compare closed-source API spend against open-source models hosted privately on the Shakudo Platform.
Savings are estimated based on input and output token usage, selected models, and approximate cache hit rates.
Transitioning from proprietary APIs to privately hosted open-source models unlocks unparalleled cost efficiency, complete data sovereignty, and hardware flexibility.
Standardize on OpenAI-compatible API routes. Swap models, fine-tune weights, or migrate cloud providers without rewriting your application logic.
Replace volatile usage-based per-token billing with predictable, flat-rate GPU hosting. Control your budget even as your user base scales exponentially.
Run models entirely inside your virtual private cloud (VPC). Keep sensitive customer data, prompts, and completions strictly within your secure compliance boundaries.
Input tokens are typically processed faster and cost significantly less than output tokens. Knowing your exact input-to-output ratio is crucial for pricing accuracy.
Agentic loops and long system instructions benefit heavily from prompt caching. Map your workload to the appropriate cache profile to see true compound savings.
Workloads spending over $5,000/month generally see immediate cost savings by shifting to dedicated, autoscaling GPU nodes instead of paying per-token.
| Model | Cached Input | Input | Output |
|---|---|---|---|
| — | — | — | — |
| — | — | — | — |
List prices from provider rate cards. Where cached input is not listed, cached tokens are billed at the standard input rate.
| Scenario | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| Current Trajectory | — | — | — |
| On Shakudo | — | — | — |
| Savings | — | — | — |