AI API Cost Calculator
Estimate and compare LLM API costs across providers by tokens, model, and request volume — and see the break-even poi...
What AI API Cost Calculator does
The AI API Cost Calculator on Wide Area AI helps users estimate and compare the monthly cost of using cloud LLM APIs against running the same model on their own GPU. By entering daily request volume and average input and output token sizes, the tool calculates the real monthly difference between recurring cloud bills and the marginal electricity cost of self-hosting. It supports major providers like OpenAI, Anthropic, and Google, and offers a selection of common NVIDIA RTX cards and Mac M-series cards with adjustable electricity rates. The core value is identifying the break-even point where the GPU's electricity cost becomes significantly lower than ongoing API subscriptions.
How to use the Wide Area AI AI API Cost Calculator
- 1
Punch in your daily request volume and average input and output token sizes
- 2
Pick a cloud API model from the list (e.g., GPT-4o-mini, Claude Sonnet 4.5, Gemini 2.5 Flash)
- 3
Select the GPU you own (or Mac M-series) and set your electricity price per kWh
- 4
View the break-even analysis showing monthly cloud cost, GPU electricity cost, and monthly savings
- 5
Adjust usage multipliers (1x, 5x, 10x) to see how costs scale with higher volume
Best for
Developers and teams deciding whether to continue paying cloud API fees or invest in self-hosting a model on existing hardware, especially those with moderate to high daily request volumes.
Limitations
- Results are estimates based on typical GPU throughput and do not account for hardware acquisition cost or maintenance
- GPU busy time is estimated at a fixed rate (e.g., 30 tok/s for 7B–14B class), which may not match all model sizes or optimization levels
- Electricity cost and local rates vary; the savings figure assumes constant operation at the given wattage
AI API Cost Calculator FAQ
- How is the break-even point calculated between cloud API and GPU hosting?
- The tool compares the monthly cost of paying per-token cloud rates against the fixed electricity cost of running your GPU. It factors in your daily request volume, token counts, the selected model's pricing, and the GPU's wattage. The break-even shows the point where your electricity cost is far lower than the recurring API bill for the same usage.
- Can I compare multiple cloud models at once?
- Yes. The calculator lets you select several cloud API models side-by-side (e.g., GPT-4o-mini, Claude Sonnet 4.5, Gemini 2.5 Flash) and will display the monthly cost, GPU electricity cost, and savings for each, helping you identify the most cost-effective provider for your volume.
- What GPU options are available, and do I need a powerful card to see savings?
- The tool lists common NVIDIA RTX cards (3060 through 4090) and Mac M-series options. Even lower-end cards like the RTX 3060 can show significant monthly savings at moderate request volumes, while higher-end cards like the 4090 maximize savings at scale. The key factor is your electricity rate and how many tokens you process daily.
- Does the tool account for model output speed or latency?
- The calculator includes an estimated output speed field (tokens per second) and factors in GPU busy time based on model class, but it focuses on cost comparison rather than performance metrics like latency or throughput benchmarks.