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How much does an AI agent cost to run Pipeline Hygiene?

Token cost benchmark for an autonomous Pipeline Hygiene agent, across 26 models. Prices as of 26 Jul 2026.

An agent for Pipeline Hygiene on the clean path costs about $0.0065 to $0.458 per outcome depending on the model, around 5.9x the cost of a single chat message. At 10,000 outcomes a month that is roughly $65 to $4,580.
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Cost per outcome by model

Model$/1M in$/1M outCost / outcomeCost / month*
GPT-4o mini$0.15$0.60$0.0065$65
Llama 4 Maverick$0.27$0.85$0.0112$112
Gemini 2.5 Flash$0.30$2.50$0.0161$161
DeepSeek V4$0.43$0.87$0.0168$168
GPT-4.1 mini$0.40$1.60$0.0174$174
Mistral Large 3$0.50$1.50$0.0205$205
Qwen3.5 397B$0.60$3.60$0.0289$289
Kimi K2.6$0.95$4.00$0.0417$417
Claude Haiku 4.5$1.00$5.00$0.0458$458
Grok 4.3$1.25$2.50$0.0483$482
Qwen3.7 Max$1.25$3.75$0.0513$512
GLM-5.2$1.40$4.40$0.0579$579
Gemini 2.5 Pro$1.25$10.00$0.0663$662
Mistral Medium 3.5$1.50$7.50$0.0687$687
Gemini 3.5 Flash$1.50$9.00$0.0723$723
GPT-4.1$2.00$8.00$0.0868$868
Claude Sonnet 5$2.00$10.00$0.0916$916
GPT-4o$2.50$10.00$0.108$1,085
GPT-5.4$2.50$15.00$0.120$1,205
GPT-5.6 Terra$2.50$15.00$0.120$1,205
Claude Sonnet 4.6$3.00$15.00$0.137$1,374
Kimi K3$3.00$15.00$0.137$1,374
Claude Opus 4.8$5.00$25.00$0.229$2,290
GPT-5.5$5.00$30.00$0.241$2,410
GPT-5.6 Sol$5.00$30.00$0.241$2,410
Claude Fable 5$10.00$50.00$0.458$4,580

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

What this agent does

The clean-path steps this benchmark prices:

  1. Pull Open Pipeline
  2. Detect Issues
  3. Issues found?

What drives the cost

This path runs 3 steps: 1 tool call, 1 reasoning step and 1 decision point. Tool steps make two model calls each, and the agent re-reads its growing context on every call. That compounding is why one Pipeline Hygiene outcome costs about 5.9x a single chat message ($0.137 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 Pipeline Hygiene 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 Pipeline Hygiene?

On the clean path with default assumptions, an agent for Pipeline Hygiene costs about $0.0065 to $0.458 per outcome depending on the model, or roughly $65 to $4,580 per month at 10,000 outcomes. The cheapest model here is GPT-4o mini at $0.0065; the most expensive is Claude Fable 5 at $0.458.

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 Pipeline Hygiene that adds up to about 5.9x the cost of a single chat message.

Which model is cheapest for Pipeline Hygiene?

Across the 26 models benchmarked, GPT-4o mini is cheapest at $0.0065 per outcome and Claude Fable 5 is the most expensive at $0.458. 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 Pipeline Hygiene?

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 Pipeline Hygiene benchmark based on?

These are modeled estimates, not metered bills. Each figure prices a generic, representative Pipeline Hygiene 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.

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Open Pipeline Hygiene in the live estimator →