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IT Security / SecOps

How much does an AI agent cost to run Alert Triage?

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

An agent for Alert Triage on the clean path costs about $0.0260 to $2.60 per outcome depending on the model, around 33x the cost of a single chat message. At 10,000 outcomes a month that is roughly $260 to $25,980.
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Cost per outcome by model

Model$/1M in$/1M outCost / outcomeCost / month*
Claude Haiku 5.5$0.10$0.50$0.0260$260
GPT-6 Luna$0.10$0.50$0.0260$260
Llama 4 Maverick$0.25$0.87$0.0618$618
DeepSeek V4.1 Flash$0.30$1.20$0.0754$754
Gemini 2.5 Flash$0.30$2.50$0.0863$863
Mistral Large 3$0.50$1.50$0.121$1,215
Gemini 3.8 Flash$0.75$3.75$0.195$1,949
Claude Haiku 4.5$1.00$5.00$0.260$2,598
DeepSeek V4 Pro$1.32$3.96$0.321$3,208
Mistral Large 4$1.36$4.18$0.331$3,313
Gemini 2.5 Pro$1.25$10.00$0.356$3,562
Grok 4.7$2.00$6.00$0.486$4,860
Claude Sonnet 5.5$2.00$10.00$0.520$5,196
Claude Sonnet 5$2.00$10.00$0.520$5,196
GPT-6.1 Sol$2.00$10.00$0.520$5,196
Gemini 4 Argon$2.00$10.00$0.520$5,196
Gemini 3.1 Pro$2.00$12.00$0.536$5,364
Claude Sonnet 4.6$3.00$15.00$0.779$7,794
Claude Opus 5.5$4.00$20.00$1.04$10,392
Claude Opus 5$5.00$25.00$1.30$12,990
Claude Opus 4.8$5.00$25.00$1.30$12,990
Claude Fable 5.1$10.00$50.00$2.60$25,980
Claude Fable 5$10.00$50.00$2.60$25,980
GPT-6 Astra$10.00$50.00$2.60$25,980

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

What this agent does

The clean-path steps this benchmark prices:

  1. Deduplicate & Group
  2. Enrich (asset, user, IOC)
  3. Known false positive?
  4. Correlate Events
  5. Score Severity
  6. Malicious?
  7. Critical / active?
  8. Auto- containable?
  9. Auto- Contain
  10. Confidence high?

What drives the cost

This path runs 10 steps: 4 tool calls, 1 reasoning step 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 Alert Triage outcome costs about 33x a single chat message ($0.779 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 Alert Triage 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 Alert Triage?

On the clean path with default assumptions, an agent for Alert Triage costs about $0.0260 to $2.60 per outcome depending on the model, or roughly $260 to $25,980 per month at 10,000 outcomes. The cheapest model here is Claude Haiku 5.5 at $0.0260; the most expensive is GPT-6 Astra at $2.60.

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 Alert Triage that adds up to about 33x the cost of a single chat message.

Which model is cheapest for Alert Triage?

Across the 24 models benchmarked, Claude Haiku 5.5 is cheapest at $0.0260 per outcome and GPT-6 Astra is the most expensive at $2.60. 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 Alert Triage?

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 Alert Triage benchmark based on?

These are modeled estimates, not metered bills. Each figure prices a generic, representative Alert Triage 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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