Unverified50% confidenceFactExact time
The model's key assumptions include: reviewer calls are 2000 input + 300 output tokens; system-under-test calls are 1500 input + 500 output tokens; a mid-tier model ($2/$10 per million tokens) is used by default; offline runs use the batch API for a 50% discount; online review uses standard pricing; human review is 4 minutes per case at $45 per hour; tooling costs follow Langfuse list prices; and the loaded cost of US full-time labor is $16188 per month.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
UnverifiedPilot scenario: 500 golden-set cases, 20 offline runs per month, 1 reviewer call per case, no online review, 100 human reviews, 0.25 evaluation engineers. Non-labor spend is $404 per month, engineering cost is $4047 per month, full-scope cost is $4451 per month, about $53412 per year.79% similarUnverifiedThe monthly running cost of standard models is about $0.004 per conversation, and about $0.008 per conversation for advanced models, plus about $150/month in hosting and maintenance fees.75% similarUnverified主流模型推理成本以每百万token计价：GPT-4o约为5-15美元，Claude 3.5 Sonnet约为3-15美元，多步骤代理任务的token总量往往是单次对话的10-50倍73% similar
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