Use case
Estimate the per-task and per-month cost of deploying autonomous AI agents.
Autonomous agents — planning loops, tool use, multi-step execution — consume 3–10x the tokens of a comparable interactive prompt. Modeling agent cost accurately is the single most important AI budgeting task for 2026 rollouts.
Tokens / event
20K – 200K
Events / user / day
5 – 50
Typical cost range
$0.10 – $3.00 per task
Recommended models
3
Run the numbers for your team
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Configure your team
Embedded in core workflows. Mixed adoption.
AI-assisted tasks
3 / 3Annual estimate
$15.2K
Total token OpEx for 50 employees · Claude Sonnet 4
Recommended models for this workload
- Claude Sonnet 4 cost calculator — $3 in / $15 out per 1M tokens.
- GPT-5 cost calculator — $5 in / $15 out per 1M tokens.
- Gemini 2.5 Pro cost calculator — $1.25 in / $10 out per 1M tokens.
Frequently asked questions
›Why do AI agents use so many tokens?
Agents re-read their full context on every planning step, accumulate tool outputs into the conversation, and often perform 5–20 LLM calls per user-visible task.
›How do I control AI agent cost?
Cap planning steps, summarize working memory, route subtasks to efficient models, and cache tool outputs aggressively.
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