AI Models tool
AI model cost calculator
Estimate monthly model cost and decide where routing rules are worth the setup time.
What to collect
| Monthly requests | Separate support, extraction, coding, analysis, and agent prompts instead of blending them. |
|---|---|
| Average tokens | Include retries and tool-call context, not just the happy-path prompt. |
| Hard-task share | Mark the percentage that truly needs the best reasoning model. |
How to use it
| 1 | Group prompts by risk and difficulty. |
|---|---|
| 2 | Price each group on solved-task cost, including retries. |
| 3 | Route routine work away from premium models unless quality loss creates rework. |
How to read the result
| Default path | Utility model | Most summaries, labels, extraction, and drafts should start here. |
|---|---|---|
| Escalation path | Frontier reasoning | Use only when missed constraints or bad code would cost more than latency. |
| Control path | Monthly eval sample | Keep a recurring test set so price cuts or model updates do not silently change quality. |
Useful vs risky
| Healthy | Premium requests stay under 25% of volume unless the product is mostly expert work. |
|---|---|
| Risky | One model is the default for every prompt and nobody tracks retries. |
Buyer tools
Quick checks before a shortlist
AI model cost calculator
Use this before choosing a default model. The useful answer is not the cheapest token price; it is the cheapest solved task with acceptable latency and failure rate.
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