Estimate your monthly Google Vertex Ai API bill from your own workload and rates. Enter the prices from your Google Vertex Ai account (per 1M tokens) — we don't publish competitor pricing because it changes often.
Input tokens/month: — · Output tokens/month: —
Monthly cost: —
Fill in your rates to see the estimate.
Plugsky plans are flat monthly with unlimited fair-use across 30+ models — compare on pricing, or start on the free plan (2 free models, no card).
This calculator estimates Google Vertex AI costs for your monthly token volume and compares them with Plugsky equivalents. It covers the model catalogue Vertex exposes, including Gemini and third-party models, plus per-token input and output rates, projected monthly costs and hidden costs such as data transfer or gateway overhead. It is aimed at teams already on Google Cloud who want a cost baseline before committing further. Figures are estimates based on published pricing.
Vertex AI is Google Cloud's enterprise platform, with more models, regions and controls, while the Gemini API is a simpler endpoint aimed at direct model access. Pricing, availability and data terms can differ between them, so compare against the exact service your application calls.
Beyond tokens, watch for data transfer, logging and monitoring, storage of request or response data, and any gateway or proxy you place in front. Google Cloud billing also adds egress charges when data leaves a region, which matters for globally distributed applications.
Vertex uses its own SDK and authentication, so migration means mapping model names and request formats. Plugsky exposes an OpenAI-compatible API, which reduces future switching costs. Benchmark latency and quality on representative prompts before moving production traffic.
Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs