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How much does an AI agent cost to run IT Service Request?

Token cost benchmark for an autonomous IT Service Request agent, across 24 models. Prices as of 25 Oct 2026.

An agent for IT Service Request on the clean path costs about $0.0150 to $1.50 per outcome depending on the model, around 19x the cost of a single chat message. At 10,000 outcomes a month that is roughly $150 to $15,030.
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Cost per outcome by model

Model$/1M in$/1M outCost / outcomeCost / month*
Claude Haiku 5.5$0.10$0.50$0.0150$150
GPT-6 Luna$0.10$0.50$0.0150$150
Llama 4 Maverick$0.25$0.87$0.0351$351
DeepSeek V4.1 Flash$0.30$1.20$0.0431$431
Gemini 2.5 Flash$0.30$2.50$0.0517$517
Mistral Large 3$0.50$1.50$0.0685$686
Gemini 3.8 Flash$0.75$3.75$0.113$1,127
Claude Haiku 4.5$1.00$5.00$0.150$1,503
DeepSeek V4 Pro$1.32$3.96$0.181$1,810
Mistral Large 4$1.36$4.18$0.187$1,871
Gemini 2.5 Pro$1.25$10.00$0.213$2,126
Grok 4.7$2.00$6.00$0.274$2,742
Claude Sonnet 5.5$2.00$10.00$0.301$3,006
Claude Sonnet 5$2.00$10.00$0.301$3,006
GPT-6.1 Sol$2.00$10.00$0.301$3,006
Gemini 4 Argon$2.00$10.00$0.301$3,006
Gemini 3.1 Pro$2.00$12.00$0.314$3,138
Claude Sonnet 4.6$3.00$15.00$0.451$4,509
Claude Opus 5.5$4.00$20.00$0.601$6,012
Claude Opus 5$5.00$25.00$0.752$7,515
Claude Opus 4.8$5.00$25.00$0.752$7,515
Claude Fable 5.1$10.00$50.00$1.50$15,030
Claude Fable 5$10.00$50.00$1.50$15,030
GPT-6 Astra$10.00$50.00$1.50$15,030

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

What this agent does

The clean-path steps this benchmark prices:

  1. Triage & Validate
  2. Classify & Route
  3. In catalog?
  4. Approve fulfillment?
  5. Provision Access/Asset
  6. License available?
  7. Delivered OK?
  8. Confirm & Update CMDB
  9. Requester confirms?

What drives the cost

This path runs 9 steps: 2 tool calls, 2 reasoning steps and 5 decision points. Tool steps make two model calls each, and the agent re-reads its growing context on every call. That compounding is why one IT Service Request outcome costs about 19x a single chat message ($0.451 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 IT Service Request 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 IT Service Request?

On the clean path with default assumptions, an agent for IT Service Request costs about $0.0150 to $1.50 per outcome depending on the model, or roughly $150 to $15,030 per month at 10,000 outcomes. The cheapest model here is Claude Haiku 5.5 at $0.0150; the most expensive is GPT-6 Astra at $1.50.

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 IT Service Request that adds up to about 19x the cost of a single chat message.

Which model is cheapest for IT Service Request?

Across the 24 models benchmarked, Claude Haiku 5.5 is cheapest at $0.0150 per outcome and GPT-6 Astra is the most expensive at $1.50. 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 IT Service Request?

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 IT Service Request benchmark based on?

These are modeled estimates, not metered bills. Each figure prices a generic, representative IT Service Request 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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