Free developer tools for estimating LLM token costs, vector database capacities, RAM requirements, and network subnets. Build efficient and cost-optimized cloud and AI infrastructure.
Our most popular tech calculators are the Vector DB Storage & RAM Estimator for planning database hardware, AI Tokens & Cost Calculator for forecasting API budgets, and Subnet Calculator for network CIDR configuration. All tools are open, free, and require no account setup.
Estimate tokens, simulate prompt caching savings, compare API costs across leading LLM models, and calculate multi-turn chat context growth.
Calculate CIDR, subnet masks, and address ranges.
Estimate RAM and disk storage capacity needed for vector databases based on embedding parameters.
Modern application development, particularly with AI, requires accurate infrastructure sizing and cost projections. These tools help system architects, DevOps engineers, and network administrators plan their systems without resorting to spreadsheets.
The Vector DB Storage & RAM Estimator calculates memory and disk space requirements based on vector count, dimensions, precision format, and indexing algorithms (like HNSW). It accounts for the index multiplier, which can double memory usage compared to raw vectors alone.
The AI Tokens & Cost Calculator lets you model chat scenarios. You can specify average system prompts, input query sizes, expected response tokens, and multi-turn conversation lengths to predict daily, monthly, and yearly API bills. It also supports prompt caching discounts for models like GPT-4o and Claude 3.5 Sonnet.
The Subnet Calculator converts CIDR blocks into subnet masks, wildcard masks, network addresses, usable host ranges, and broadcast addresses. It assists in architecting VPC subnet topologies in cloud providers like AWS, Google Cloud, and Azure.
We offer free, developer-focused calculators including a Vector DB Storage & RAM Estimator, LLM Token & Cost Calculator, and CIDR Subnet Calculator to assist with infrastructure planning.
Vector database sizing is estimated by multiplying the number of vectors by dimensions, number of bytes per vector (usually 4 bytes for float32), adding index overhead (such as HNSW M/efConstruction factors), and adding a safe padding buffer.
A subnet mask splits an IP address into network and host addresses. CIDR notation (e.g., /24) represents the number of routing prefix bits, determining the total available IP addresses and usable hosts per network.
LLM costs are calculated by multiplying prompt (input) and completion (output) token counts by the pricing per million tokens set by providers. Our tool simulates prompt caching and multi-turn growth.