Run unit
OpenAI documents token-based credits for Workspace Agent runs.
Agent economics · reviewed 2026-10-18
Understand ChatGPT Workspace Agent credits, run cost, team controls, review effort and cost per accepted business outcome.
Direct answer
Treat Workspace Agents as a team workflow product, not a standalone cheap agent. The real buying question is whether shared processes, controls and connected actions reduce enough labour to justify plan access and run credits.
By Aniruddh PanvalkarPricing verified Oct 18, 2026
OpenAI documents token-based credits for Workspace Agent runs.
OpenAI states that a typical GPT-5.5 end-to-end run may use about 5–25 credits, depending on the task.
The product is designed around shared agents, workspace processes, groups, administration and action safeguards.
Plan access and agent-run credits are only part of landed cost; connected-system work and human review remain material.
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.
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