Stop Guessing: Calculate Your Local Index Token Savings
For LLM developers and AI engineers who rely on tool calling. Plug in your daily call volume, average token size, local index hit rate, and model price to instantly see how many tokens and dollars a local index can save each month — with a clear before/after comparison.
Results update live as you type — no button needed. The Example button fills a sample input.
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Why use Local Index Token Savings Calculator?
Instant token and cost savings estimate based on your real tool-call volume
Adjustable local index hit rate to model different retrieval strategies
Clear before/after monthly comparison for budget and architecture decisions
Supports any model price per 1K tokens, including GPT-4, Claude, and open-source models
No sign-up, no data leaves your browser — all calculations run locally
FAQ
What is a local index in the context of LLM tool calling?
A local index is a pre-built, searchable knowledge base (often using embeddings or keyword search) that runs on your own infrastructure. Instead of calling an external tool or API for every query, the LLM first checks the local index. If a relevant answer is found (a 'hit'), the tool call is skipped, saving tokens and latency.
How do you calculate token savings from a local index?
The calculator multiplies your daily tool calls by the average tokens per call to get total daily tokens. It then applies the local index hit rate to estimate how many of those calls are avoided. The avoided tokens are converted to cost using your model price per 1K tokens, and multiplied by working days per month for monthly savings.
What hit rate should I use?
Hit rate depends on your domain, index quality, and query patterns. Start with a conservative estimate (e.g., 0.5) and adjust upward as you measure real performance. The calculator lets you test multiple scenarios instantly.
Does this calculator account for the cost of building and maintaining the local index?
No, this calculator focuses on token and API cost savings from avoided tool calls. You should separately consider infrastructure, embedding, and maintenance costs. However, for many teams, the token savings alone justify the investment.