Agent Cost Envelope Calculator: Examples
The lesson is how fast loop cost compounds. A loop of 8 reasoning steps at 5,000 input and 1,500 output tokens per step, running 50 markets a day, turns a small per-call number into a meaningful monthly bill once you multiply by steps, convergence overhead, markets, and trading days. The continuous calendar bills 22 days a month; the crypto calendar bills 30. Budget utilization tells you whether the loop design fits a given envelope before you deploy it.
Worked Examples
See the inputs and outcome together
Each scenario keeps the starting point, the outcome, and the actual lesson in one place so the page reads like a decision notebook, not a data dump.
- 1
Flagship model blows the budget
Running the agent on Claude Opus 4.7 across 50 markets a day on a continuous calendar, against a $500 monthly budget.
Cost per loop $0.5125, per day $25.63, per month $563.75. Over budget at 113% utilization.
Model
Claude Opus 4.7
Input / output tokens per step
5,000 / 1,500
Steps per loop
8
Convergence check
20%
Markets per day
50
Budget
$500/month
Opus lands at $563.75, just over the $500 envelope at 113 percent utilization. The agent is well-designed; the model is simply too expensive for this market count. You either drop markets, cut steps, or move down a tier.
- 2
Mid-tier model fits comfortably
The identical loop on Claude Sonnet 4.6, the usual default for bulk research agents.
Cost per loop $0.3075, per day $15.38, per month $338.25. Within budget at 68% utilization.
Model
Claude Sonnet 4.6
Input / output tokens per step
5,000 / 1,500
Steps per loop
8
Convergence check
20%
Markets per day
50
Budget
$500/month
Sonnet runs the same agent for $338.25, comfortably inside the envelope at 68 percent. The 40 percent cost cut from Opus comes entirely from the cheaper per-token rates; nothing about the agent's behavior changed. This is the default starting point.
- 3
Economy model leaves headroom to scale
The same loop on Claude Haiku 4.5, the economy tier you would use for a high-volume but lower-stakes agent.
Cost per loop $0.1025, per day $5.13, per month $112.75. Within budget at 23% utilization.
Model
Claude Haiku 4.5
Input / output tokens per step
5,000 / 1,500
Steps per loop
8
Convergence check
20%
Markets per day
50
Budget
$500/month
Haiku uses just 23 percent of the budget, leaving room to roughly quadruple the market count or step depth and still fit. When an agent does not need frontier reasoning, the economy tier buys you scale, not just savings.
- 4
Crypto calendar, seven days a week
Back to Opus, but on a crypto calendar that trades 30 days a month instead of 22 trading days. Same per-loop cost, more days.
Cost per loop $0.5125 unchanged, per month $768.75. Budget utilization 154%.
Model
Claude Opus 4.7
Input / output tokens per step
5,000 / 1,500
Steps per loop
8
Convergence check
20%
Markets per day
50
Calendar
Crypto (30 days)
The same per-loop cost over 30 calendar days instead of 22 trading days pushes the monthly bill to $768.75, 154 percent of budget. A 24/7 market is roughly 36 percent more expensive to run than an equities-calendar agent before any other change.
Patterns
Try These Tools
Run the numbers next
Token-Cost Optimizer
Compute the dollar cost of a trading research loop across Claude, GPT, and Gemini. Prompt length × model × retry × call volume → cost per idea and per.
Model Selector for Finance
Input task, latency budget, cost budget, context size, and quality sensitivity; get ranked model recommendations with rationale — grounded in published.
Sources & References
- Building Effective Agents — Anthropic (2024)
- Anthropic API Pricing — Anthropic (2026)
Related Content
Keep the topic connected
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LLM for Finance Deployment Checklist
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