Single-agent advantage
Fewer calls, simpler state, clearer accountability and easier debugging.
Agent economics · reviewed 2026-10-18
Compare a single agent with a multi-agent system using model calls, repeated context, handoffs, retries, review and coordination tax.
Direct answer
Use one agent by default. Add specialist agents only when the measured increase in accepted outcomes, quality or cycle time exceeds the coordination tax created by extra model calls, repeated context, handoffs, tracing and failure recovery.
By Aniruddh PanvalkarPricing verified Oct 18, 2026
Fewer calls, simpler state, clearer accountability and easier debugging.
Useful specialisation, parallel work and independent checking when the task genuinely benefits.
The additional landed cost of the multi-agent design compared with an equivalent single-agent design.
The multi-agent design must improve acceptance enough to match or beat the single-agent cost per accepted task.
Agent economics
Compare total landed cost and cost per accepted outcome. Defaults are illustrative—not benchmark results or vendor quotes.
Monthly landed cost
USD 1,335.40
Cost per attempted task
USD 13.35
Cost per accepted task
USD 18.55
Failed-run and repair cost
USD 134.10
Human review and repair
USD 1,112.50
Tools and infrastructure
USD 41.30
Coordination tax
Not applicable
Break-even acceptance rate
Not applicable
Currency is USD. Confirm current provider pricing and replace all assumptions with your invoices, token usage, credits, runtime and labour cost before buying.
If our calculators helped you cut down on hidden AI wallet leaks, thanks for using them. A tiny fraction of your savings is what keeps our pricing indexes updated daily.
Not sure which AI is cheapest for your use case? Find out in 30 seconds — no signup required.
AI cost intelligence
Join the OverpayingForAI list for pricing updates, cheaper alternatives, and practical buying guidance.
Now tracking 50+ AI tools, models, platforms, subscriptions, coding tools, and automation products.