API Token Cost Calculator

Estimate daily and 30-day LLM API spend with separate uncached input, cached context, and output token rates.

Estimated Monthly API Spend (30 Days)
$1,642.50
$54.75/day • $5.4750 per 1,000 requests
Cost per 1,000 Calls $5.475
Monthly Input + Cache Cost $742.50
Monthly Output Token Cost $900.00
Monthly Token Volume 1230M tokens
Inputs
calls / day
Total API calls across all users per day.
tokens
Fresh prompt tokens sent on each call (~1 token ≈ 0.75 English words).
tokens
System prompt or document tokens served from context cache.
tokens
Generated completion/reasoning tokens per call.
USD / 1M
Editable reference rate per 1M input tokens ($).
USD / 1M
Editable reference rate per 1M cached context tokens ($).
USD / 1M
Editable reference rate per 1M output tokens ($).
Results & Graph
Estimated Monthly API Spend (30 Days)
$1,642.50
$54.75/day • $5.4750 per 1,000 requests
Cost per 1,000 Calls
$5.475
Monthly Input + Cache Cost
$742.50
Monthly Output Token Cost
$900.00
Monthly Token Volume
1230M tokens

Monthly Token Cost Breakdown ($)

Uncached Input vs. Cached Context vs. Output Tokens
Graph 1 • Monthly Token Cost Breakdown ($) Uncached Input vs. Cached Context vs. Output Tokens
Uncached Input Tokens: $562.5Cached Context Tokens: $180Output Generation Tokens: $900 Uncached Input Tokens $562.5 Cached Context Tokens $180 Output Generation Tokens $900
Graph 2 • Revenue vs. Cost / Overhead Share Ring Proportional unit economics composition
TOTAL $1.6k Uncached Input Tokens 562.5 (34.2%) Cached Context Tokens 180 (11.0%) Output Generation Tokens 900 (54.8%)
Graph 3 • Monthly LLM Token Spend ($) Across Daily API Traffic Tiers Shows how rates or revenues scale with utilization and volume
0 8.9k 17.7k 1k req/d: 328.5 328.5 1k req/d 5k req/d: 1,642.5 1.6k 5k req/d 10k req/d: 3,285 3.3k 10k req/d 25k req/d: 8,212.5 8.2k 25k req/d 50k req/d: 16,425 16.4k 50k req/d
Summary: Monthly API cost is $1,642.50, consisting of $562.50 uncached input, $180.00 cached input, and $900.00 output tokens.
Summary: At 10,000 requests/day (1,500 uncached input, 2,000 cached input, and 600 output tokens per call), your monthly 30-day API spend is $1,642.50 ($742.50 input/cache and $900.00 output generation).

Formula & Mathematical Methodology: Per-Request & Monthly Token Billing Equation

Costrequest = TinPin + TcachePcache + ToutPout106
Cost_req = (T_in × P_in + T_cache × P_cache + T_out × P_out) / 1,000,000; Monthly = Cost_req × DailyCalls × 30
  • Tin, T_cache, T_out: Uncached input, cached context, and output token counts per call
  • Pin, P_cache, P_out: USD price per 1,000,000 tokens for each tier

Rounding: Monthly and daily totals round to 2 decimal places; per-1,000-call cost rounds to 3–4 decimal places.

Worked Example: 10,000 Calls/Day with 1,500 Input ($1.25/1M), 2,000 Cached ($0.30/1M), and 600 Output ($5.00/1M)

Estimate monthly inference spend for a production assistant handling 10,000 calls/day.

  1. Input cost/call = 1,500 × $1.25 ÷ 1,000,000 = $0.001875.
  2. Cached cost/call = 2,000 × $0.30 ÷ 1,000,000 = $0.000600.
  3. Output cost/call = 600 × $5.00 ÷ 1,000,000 = $0.003000.
  4. Total per call = $0.005475 ($5.475 per 1,000 calls) → $54.75/day → $1,642.50/month.
Result: $1,642.50/month ($54.75/day) across 1,230M total monthly tokens.

Frequently Asked Questions

How many tokens is 1,000 English words?

With modern BPE tokenizers, 1 token averages roughly 4 characters or 0.75 words in English, so 1,000 words is approximately 1,330 tokens.

Developer Tools • AI Engineering & Cloud Cost Estimation Guide

How to Use the API Token Cost Calculator: Practical Guide & Visual Analysis

Model production AI inference budgets accurately by separating uncached prompt tokens, cached context tokens, and generated output tokens, with fully editable per-1M-token rates. Whether you are researching llm token calculator, ai api cost estimator, prompt token pricing, gemini openai anthropic token cost, context caching cost, this interactive tool helps you calculate daily, monthly, and per-1,000-request API costs using editable input, cached context, and output token pricing.

Interpreting the 3 Custom Visual Graphs & Key Outputs

As you adjust Daily API Requests, Uncached Input Tokens per Request, Cached Context Tokens per Request, Output Tokens per Request, the calculator immediately computes Estimated Monthly Spend (30 Days), Daily API Cost ($), Cost per 1,000 Requests ($), Monthly Input / Cache vs. Output Cost Breakdown and updates all three domain-specific SVG charts in real time. Instead of relying on a single static figure, you can inspect the primary domain diagram, component breakdown, and multi-point trajectory curve to see how changing your inputs shifts the final result. Use the Compare (up to 3 scenarios) button to evaluate side-by-side variations before making a decision.

Real-World Benchmark & Planning Tips (Global (USD per 1,000,000 Tokens))

In our benchmark scenario (10,000 Calls/Day with 1,500 Input ($1.25/1M), 2,000 Cached ($0.30/1M), and 600 Output ($5.00/1M)), $1,642.50/month ($54.75/day) across 1,230M total monthly tokens. Keep in mind that default token prices are dated October 2026 reference benchmarks and are 100% editable to match any provider or batch discount tier. For related calculations in Developer Tools, explore SaaS Metrics Calculator (MRR, ARR, LTV, CAC & Break-Even), Aspect Ratio, Image Dimensions & Storage Converter, App Ad & Subscription Revenue Calculator.