Self-Hosted GPU vs Cloud LLM API Break-Even Calculator
Find the exact daily request volume and monthly token threshold where dedicated GPUs beat pay-per-token Cloud APIs—factoring in prompt-caching discounts, active rental hours, and whether your chosen GPU cluster can physically sustain the required tok/s throughput.
Workload Volume, API Rates & GPU Cost Inputs
Full Accelerator & Unified Memory Specification Matrix
| Accelerator / System | Typical Cloud $/hr | 30-Day Dedicated GPU Cost | Break-Even Daily Requests | Est. Decode Speed |
|---|---|---|---|---|
| RTX 3090 24GB | $0.29/hr | $209/mo | 14,061 req/d | OOM (TP≥2) |
| RTX 4090 24GB | $0.44/hr | $317/mo | 21,334 req/d | OOM (TP≥2) |
| RTX 5090 32GB | $0.79/hr | $569/mo | 38,304 req/d | OOM (TP≥2) |
| Apple M-Max 64GB | $0.22/hr | $158/mo | 10,667 req/d | 14.6 tok/s |
| Mac Studio 128GB | $0.32/hr | $230/mo | 15,516 req/d | 14.6 tok/s |
| Mac Studio 192GB | $0.48/hr | $346/mo | 23,273 req/d | 21.4 tok/s |
| NVIDIA A100 80GB | $1.49/hr | $1073/mo | 72,243 req/d | 61.3 tok/s |
| NVIDIA H100 80GB | $2.39/hr | $1721/mo | 115,879 req/d | 100.7 tok/s |
Why Utilization & Prompt Caching Shift the Break-Even Curve
Pay-per-token Cloud APIs charge zero idle overhead and discount repeated system prompts by up to 75–90%, making spiky low-duty-cycle workloads far cheaper on managed endpoints than 24/7 rented GPUs.
Once steady background pipelines, coding agents, or high-concurrency RAG traffic keep an RTX 4090, A100, or H100 utilized above ~25–35% of the day, fixed hourly compute rapidly undercuts per-million output token billing. Benchmark live 460+ provider API rates directly on DevToken.