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How much does an AI agent cost to run HR Onboarding?

Token cost benchmark for an autonomous HR Onboarding agent, across 24 models. Prices as of 25 Oct 2026.

An agent for HR Onboarding on the clean path costs about $0.0297 to $2.98 per outcome depending on the model, around 38x the cost of a single chat message. At 10,000 outcomes a month that is roughly $298 to $29,750.
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Cost per outcome by model

Model$/1M in$/1M outCost / outcomeCost / month*
Claude Haiku 5.5$0.10$0.50$0.0297$298
GPT-6 Luna$0.10$0.50$0.0297$298
Llama 4 Maverick$0.25$0.87$0.0710$710
DeepSeek V4.1 Flash$0.30$1.20$0.0866$866
Gemini 2.5 Flash$0.30$2.50$0.0983$982
Mistral Large 3$0.50$1.50$0.140$1,397
Gemini 3.8 Flash$0.75$3.75$0.223$2,231
Claude Haiku 4.5$1.00$5.00$0.297$2,975
DeepSeek V4 Pro$1.32$3.96$0.369$3,689
Mistral Large 4$1.36$4.18$0.381$3,810
Gemini 2.5 Pro$1.25$10.00$0.406$4,056
Grok 4.7$2.00$6.00$0.559$5,590
Claude Sonnet 5.5$2.00$10.00$0.595$5,950
Claude Sonnet 5$2.00$10.00$0.595$5,950
GPT-6.1 Sol$2.00$10.00$0.595$5,950
Gemini 4 Argon$2.00$10.00$0.595$5,950
Gemini 3.1 Pro$2.00$12.00$0.613$6,130
Claude Sonnet 4.6$3.00$15.00$0.892$8,925
Claude Opus 5.5$4.00$20.00$1.19$11,900
Claude Opus 5$5.00$25.00$1.49$14,875
Claude Opus 4.8$5.00$25.00$1.49$14,875
Claude Fable 5.1$10.00$50.00$2.98$29,750
Claude Fable 5$10.00$50.00$2.98$29,750
GPT-6 Astra$10.00$50.00$2.98$29,750

*At 10,000 outcomes per month. Cheapest model highlighted.

What this agent does

The clean-path steps this benchmark prices:

  1. Collect Documents
  2. Documents complete?
  3. Verify Right-to-Work
  4. Background Check
  5. Screening clear?
  6. Create HR Record
  7. Privileged role?
  8. Provision Accounts
  9. Assign Equipment & Workspace
  10. Day-1 ready?
  11. Schedule Orientation

What drives the cost

This path runs 11 steps: 5 tool calls, 1 reasoning step, 4 decision points and 1 automated system step (no AI). Tool steps make two model calls each, and the agent re-reads its growing context on every call. That compounding is why one HR Onboarding outcome costs about 38x a single chat message ($0.892 on Claude Sonnet 4.6), not the price of one message.

Why these numbers matter.

How this benchmark is calculated

These figures are modeled estimates, not metered bills. We price a generic, representative HR Onboarding workflow across 24 models using the same cost engine as the live estimator, at each model’s published list price (checked 25 Oct 2026), under documented default assumptions for planning loops, tool calls, memory retrieval, sub-agents and context size. Your own process will differ, so use these as starting points, tune the assumptions in the estimator, and validate against your real usage. Illustrative estimates, not financial advice.

Frequently asked questions

How much does an AI agent cost to run HR Onboarding?

On the clean path with default assumptions, an agent for HR Onboarding costs about $0.0297 to $2.98 per outcome depending on the model, or roughly $298 to $29,750 per month at 10,000 outcomes. The cheapest model here is Claude Haiku 5.5 at $0.0297; the most expensive is GPT-6 Astra at $2.98.

Why does an AI agent cost more than a single chatbot message?

An agent does not make one model call. It plans, calls tools, retrieves context and re-reads its growing working context on every step. For HR Onboarding that adds up to about 38x the cost of a single chat message.

Which model is cheapest for HR Onboarding?

Across the 24 models benchmarked, Claude Haiku 5.5 is cheapest at $0.0297 per outcome and GPT-6 Astra is the most expensive at $2.98. A cheaper model is not always the right choice, but it sets the floor for this workflow.

How can I reduce the cost of an agent for HR Onboarding?

The biggest levers are prompt caching on the base context, fewer planning loops, smaller tool results, less retrieval, and choosing a cheaper model where quality allows. You can test each lever in the live estimator.

What is this HR Onboarding benchmark based on?

These are modeled estimates, not metered bills. Each figure prices a generic, representative HR Onboarding workflow across 24 models with the same cost engine as the live estimator, at each model's published list price (checked 25 Oct 2026), under documented default assumptions for planning loops, tool calls, memory retrieval, sub-agents and context size. Your own process will differ, so treat these as starting points, tune them in the estimator, and validate against your own usage.

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