Measure actual usage
System prompts, retrieved documents, tool definitions and conversation history all consume input tokens. Sample real requests rather than estimating from visible message length.
Token pricing calculator
From a single request to a month of traffic. Estimate your LLM API bill using separate input, output, and cached token pricing.
01
Choose model pricing or enter custom rates
Input $/1M $9.2466Output $/1M $18.4932
02
Tell us about your workload
No cache-read rate is available for this model. Cache savings are not assumed.
How token pricing becomes your API cost
Apply input, output and cache-read pricing separately, then multiply by your request volume. All rates below are per 1 million tokens.
Monthly cost = requests × [(uncached input × input rate + cached input × cache rate + output × output rate) ÷ 1,000,000]
10,000 requests. 40% cache hits.
Each request uses 1,000 input and 500 output tokens. At $2 input, $8 output and $0.50 cached input per million: $12 uncached input + $2 cached input + $40 output.
$54.00 per monthIllustrative pricing, not a quote for a particular model.
Build a budget you can trust
Include reasoning output
For models that bill reasoning tokens, include them in output usage even when they are not visible in the final answer. Check the provider’s usage breakdown.
Model realistic cache hits
Prompt caches usually have eligibility rules, minimum lengths and expiration times. Use an observed cache hit rate; 100% caching is rarely a safe starting assumption.