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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 26 models. Prices as of 26 Jul 2026.

An agent for IT Service Request on the clean path costs about $0.0216 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 $216 to $15,030.
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Cost per outcome by model

Model$/1M in$/1M outCost / outcomeCost / month*
GPT-4o mini$0.15$0.60$0.0216$216
Llama 4 Maverick$0.27$0.85$0.0373$373
Gemini 2.5 Flash$0.30$2.50$0.0517$517
DeepSeek V4$0.43$0.87$0.0568$568
GPT-4.1 mini$0.40$1.60$0.0575$575
Mistral Large 3$0.50$1.50$0.0685$686
Qwen3.5 397B$0.60$3.60$0.0941$941
Kimi K2.6$0.95$4.00$0.138$1,378
Claude Haiku 4.5$1.00$5.00$0.150$1,503
Grok 4.3$1.25$2.50$0.163$1,631
Qwen3.7 Max$1.25$3.75$0.171$1,714
GLM-5.2$1.40$4.40$0.193$1,933
Gemini 2.5 Pro$1.25$10.00$0.213$2,126
Mistral Medium 3.5$1.50$7.50$0.225$2,254
Gemini 3.5 Flash$1.50$9.00$0.235$2,354
GPT-4.1$2.00$8.00$0.287$2,874
Claude Sonnet 5$2.00$10.00$0.301$3,006
GPT-4o$2.50$10.00$0.359$3,592
GPT-5.4$2.50$15.00$0.392$3,923
GPT-5.6 Terra$2.50$15.00$0.392$3,923
Claude Sonnet 4.6$3.00$15.00$0.451$4,509
Kimi K3$3.00$15.00$0.451$4,509
Claude Opus 4.8$5.00$25.00$0.752$7,515
GPT-5.5$5.00$30.00$0.785$7,845
GPT-5.6 Sol$5.00$30.00$0.785$7,845
Claude Fable 5$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 26 models using the same cost engine as the live estimator, at each model’s published list price (checked 26 Jul 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 $0.0216 to $1.50 per outcome depending on the model, or roughly $216 to $15,030 per month at 10,000 outcomes. The cheapest model here is GPT-4o mini at $0.0216; the most expensive is Claude Fable 5 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 26 models benchmarked, GPT-4o mini is cheapest at $0.0216 per outcome and Claude Fable 5 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 26 models with the same cost engine as the live estimator, at each model's published list price (checked 26 Jul 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.

More ITSM benchmarks

Beyond cost: is it ready, and can you govern it?

Cost is one axis. Before you build, check the process is ready for AI and that you can prove you govern it. See how governed AI process animations work →

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