Optimize prompts, outputs, and retries for lower spend. See per-call cost, batch savings, and limits. Export results to CSV or PDF for quick sharing.
Enter your token volumes, rates, and optimization settings. Submit to see cost, savings, and budget limits. Values stay on screen for quick iteration.
Use these examples to sanity-check outputs. Rates are placeholders; replace them with your pricing. Tokens are typical ranges, not guarantees.
| Use case | Prompt tokens | Completion tokens | Retries (%) | Input $/1K | Output $/1K | Est. cost/call |
|---|---|---|---|---|---|---|
| Support chat reply | 650 | 220 | 5.0 | $0.50 | $1.50 | $0.6878 |
| RAG answer with citations | 1,400 | 420 | 7.0 | $0.50 | $1.50 | $1.4231 |
| Document summarization | 3,200 | 650 | 4.0 | $0.50 | $1.50 | $2.6780 |
| Agent tool-run workflow | 2,100 | 900 | 10.0 | $0.50 | $1.50 | $2.6400 |
This calculator estimates per-call token billing and scales it to a period. It applies retries first, then token reductions, then caching and discounts.
Token billing grows from three measurable inputs: prompt size, output size, and retry behavior. This calculator models each component per request, then multiplies by expected call volume. Overhead tokens capture hidden wrappers such as system prompts, tool schemas, and safety text that often exceed 5–15% of total input. The baseline view helps you see where tokens concentrate before any optimization.
Providers typically price input and output tokens separately, so the model uses two rates expressed per 1,000 tokens. For a realistic plan, enter rates for the exact tier and region you deploy. When caching is enabled, the calculator creates a blended input rate using cache hit rate and cached billing percentage, reflecting discounted reuse of stable prefixes. Teams with consistent instructions often see 20–60% cache hits in production.
Prompt compression estimates how much prompt-side text you can remove through template cleanup, retrieval filtering, and eliminating repeated instructions. Response reduction estimates the effect of concise outputs, tighter formatting, and stop conditions. Both reductions apply before discounting, so improvements compound with batching and negotiated discounts. Small changes often produce large monthly savings at scale. Use experiments to validate reductions against quality metrics and latency.
Retries are a silent cost multiplier. A 6% retry rate means 1.06× billed tokens, even when responses are discarded. Track validation failures, tool timeouts, and user re-asks to estimate this rate. Use structured outputs and deterministic constraints to reduce rework. Add fallbacks for partial answers to avoid full reruns. The budget section converts optimized cost per call into a maximum safe request volume.
After submission, the results compare baseline versus optimized spend, highlighting absolute and percentage savings for the chosen period. Exporting CSV supports finance tracking and unit-economics dashboards, while the PDF report works for approvals and audits. Re-run scenarios to test new policies, model changes, or caching rollouts, and keep costs aligned with product growth. Review costs weekly, and refresh token estimates after major prompt updates. Document assumptions so stakeholders trust the numbers you share.
Start with a sample set of requests and approximate tokens using your provider’s dashboards. Use averages for prompt, completion, and overhead, then refine weekly as logging improves.
Include system instructions, tool schemas, routing text, and formatting wrappers. If unsure, begin with 5–15% of prompt tokens and adjust after observing real request payloads.
Caching is modeled on the prompt-side only, because reused prefixes typically affect input billing. Output costs still depend on completion tokens and output rate.
Count tool failures, invalid outputs, and user re-asks that trigger another call. Divide retries by successful calls to get a percentage, then track changes as reliability improves.
Batch discount reflects savings from processing work together, while additional discount covers credits or negotiated pricing. Both apply after per-call costs are computed to keep inputs consistent.
Yes. Set period days to 1 and enter expected daily calls. The calculator will return daily cost estimates and budget-based maximum calls for the same timeframe.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.