Unverified50% confidenceBenchmarkExact time
The author's measurements show that the JSON Schema definitions of 18 tools consume 2,388 tokens, averaging 133 tokens per tool, and in a 10-step Agent run they can account for 36% of input tokens and 32% of the total bill.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
UnverifiedExplicitly setting max_tokens for each task type and using JSON mode or structured output constraints: on flagship models, the cost difference between a 200-token and a 2,000-token output is about 10x, and this alone can save $20 to $30 per month.75% similarUnverifiedA single 10-turn task cumulatively consumes 445850 input tokens, and the cost per ticket is between $5.35 and $8.90; under abnormal loops the cost of a single task can exceed $18; calculated at 10000 tickets per month, re-reading dead JSON alone burns about $80000.66% similarUnverifiedIn a ten-step Agent run scenario (500-token system prompt, 200-token task description, about 780 tokens of history per step, 150-token output), using all 18 tools costs $0.150 per run, of which the Schema cost is $0.048, accounting for 32%.63% similarUnverifiedIn agentic systems, the total token consumption of a typical agent task after 8 iterations can reach 30,000–50,000 tokens, which is 10–20 times the cost of a single call.63% similarUnverifiedEstimating based on a medium-scale text generation task, a $15,000 credit can support tens of thousands to hundreds of thousands of calls, with the specific number depending on model pricing and token consumption.63% similar
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