Free LLM Tier or Self-Hosted? Three Numbers Decide, Not the Price Tag

Описание и применение

Используя три измеримых показателя – токенов в день, латентность и чувствительность данных – команда избежала проблем с бесплатными уровнями LLM и обеспечила надёжную работу.

Задача

Teams often choose free managed LLM tiers or self-hosted solutions based on marketing claims or data privacy fears, without measuring actual workload fit, leading to cost overruns or performance issues.

Результат

Using the three-number framework, the team avoided costly free tier rate limits and ensured latency and data privacy requirements were met, leading to a cost-effective and reliable LLM deployment.

Рабочий процесс

• Run a 3–5 day burn probe to capture token usage and burst factor.
• Calculate daily burn and burst factor from probe data.
• Determine realistic latency budget by measuring p95 response times under load.
• Classify data sensitivity based on presence of PII, financial, or regulated health data.
• Apply decision table to choose free tier, paid API, or self-hosted deployment.
• If in middle range, extend probe to a full week for stability.
• Adjust thresholds based on team operational tolerance.
• Implement chosen deployment and monitor metrics.

Доказательства

Run this for three to five days inside your existing LLM client wrapper. It records every request's token usage, computes a daily burn, and — more importantly — calculates a burst factor, which is the ratio of your busiest hour to your average hour.

Источник

Ask your users, not your infrastructure: what response time makes the feature feel broken? For an interactive chat widget, p95 under two seconds is usually fine; for an agent that sits inside a request path, you might need p95 under 300 milliseconds.

Источник

Be brutally honest here: if a prompt contains customer PII, internal financials, or regulated health data, the free tier conversation is already over.

Источник