Tool Use Cost Estimator
function calling
Measure token overhead & cost of tool definitions vs. conversation content
Number of tools defined
1–50
Avg. tool schema size
tokens (auto‑estimated)
Calls per conversation
tool invocations
Avg. tool result size
tokens per result
Model
pricing & overhead
GPT-4 (15$/1M in / 60$ out)
GPT-3.5 (0.5$/1M / 1.5$)
Claude Opus (15$/75$)
Claude Sonnet (3$/15$)
Gemini Pro (0.5$/1.5$)
.
Claude Opus · 15$ / 75$ per 1M tok
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Tool def overhead (tokens)
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Total tool‑related tokens
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Cost of definitions
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Cost of conversation content
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% overhead (def vs content)
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Total estimated cost
Recommendations
Adjust inputs to see live recommendations.
Schema auto‑estimate: base overhead + parameter count. Descriptions shorter = fewer tokens.