Vertex AI Cost Calculator

A Vertex AI cost calculator estimates the expenses of running generative AI inference on Google Cloud's Vertex AI platform. Unlike using Gemini directly through Google AI Studio, Vertex AI lets enterprises access Gemini models alongside third-party models — including Anthropic Claude, Meta Llama, and Mistral — under a unified enterprise billing structure. Costs are billed per token: you pay for both the input tokens (your prompt) and the output tokens (the model's response). Our vertex ai cost calculator online processes all calculations locally in your browser to give you accurate, real-time forecasts without any sign-up.

1. Select a model: Choose from the full range of models available on Vertex AI — Gemini 2.5 Pro/Flash, Gemini 1.5 series, Claude 3.7 Sonnet, Llama 3.3 70B, Mistral Large, and more. Pricing rates are pre-loaded automatically.
2. Enter your token volumes: Input your prompt token count and expected output tokens. Use the sliders for quick adjustment or type exact values. For multimodal workloads, expand the media estimator to add image, audio, and video token counts.
3. Apply cost-saving configurations: Toggle Context Caching (available for supported Gemini models, ~75% discount on cached input tokens) or Batch Prediction mode (50% reduction for asynchronous workloads) to see optimized estimates.
4. View forecasts and compare models: Set your request volume and forecast period (daily, monthly, yearly) to get projected costs. The comparison table ranks every available Vertex AI model by total cost for your specific workload.

• Standard Input Token Costs: Billing for uncached tokens in your prompt, priced per million tokens at the model's standard rate.
• Context Caching Savings: For supported Gemini models, tokens stored in persistent context cache are billed at roughly 25% of the standard input rate — up to 75% savings on repeated content like system prompts or documents.
• Output Token Costs: Generation tokens billed at a higher rate than input tokens, typically 3x to 8x depending on the model family.
• Batch Prediction Discount: A flat 50% discount applied across input, cached, and output costs when running asynchronous batch jobs with a 24-hour turnaround SLA.

To reduce your Vertex AI bill: (1) Use Gemini 2.5 Flash or Gemini 1.5 Flash for high-volume tasks like classification, extraction, or summarization — they deliver excellent quality at a fraction of Pro pricing. (2) Enable Context Caching when the same large system prompt or reference document is reused across many requests. (3) Route non-real-time jobs through Batch Prediction for an automatic 50% discount. (4) Use Llama 3.3 70B or Mistral Nemo for tasks where open-weight models perform comparably to proprietary options at significantly lower cost. Use this vertex ai cost calculator to simulate each scenario before committing.