Free LLM cost calculator
Calculate cost per task, not just cost per million tokens
Model price is only one input. Compare two workloads using calls per task, actual token shape, cache usage and retry overhead to see what one completed unit of work really costs.
- You enter your actual provider or negotiated rates
- Cached input is priced separately from uncached input
- Retries and extra agent turns are part of task cost
- No vendor price table to silently go stale
Workload assumptions
Compare two real task shapes, not two sticker prices
Use the rates from your provider contract and the token/call shape from your own workload. The example values are illustrative, not a live provider price table.
Workhorse
- Effective calls / task
- 4.20
- Cost / model call
- $0.006900
- Monthly cost
- $289.80
Frontier
- Effective calls / task
- 5.50
- Cost / model call
- $0.064500
- Monthly cost
- $3,548
Comparison
Workhorse is cheaper by 91.8%
At 10,000 tasks/month, that is about $3,258 per month.
This is an estimate from the assumptions above. Real cost per task changes with retries, context growth, cache hit rate, routing and task success—exactly why production measurement matters.
Stop estimating after the benchmark
UsageBox can meter the numeric token quantity or cost value your application already computes. Keep richer task/model/eval metadata in your application analytics, or separate usage streams with explicit meters/product items.
Price per token is not task cost
A cheaper model can need more calls, more context or more retries. Cost per task includes that behavior instead of assuming identical token consumption.
Cache hit rate changes the answer
Repeated context can be much cheaper than fresh input. Treat cached input separately instead of applying one blended input price to every token.
Production measurement still wins
The calculator is for planning and comparison. Once traffic is live, meter the quantity or computed cost your application actually produced rather than relying on a static estimate.