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Supply Chain & Logistics

How much does an AI agent cost to run Rerouting?

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

An agent for Rerouting on the clean path costs about $0.0220 to $1.53 per outcome depending on the model, around 20x the cost of a single chat message. At 10,000 outcomes a month that is roughly $220 to $15,250.
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Cost per outcome by model

Model$/1M in$/1M outCost / outcomeCost / month*
GPT-4o mini$0.15$0.60$0.0220$220
Llama 4 Maverick$0.27$0.85$0.0382$382
Gemini 2.5 Flash$0.30$2.50$0.0518$518
DeepSeek V4$0.43$0.87$0.0585$585
GPT-4.1 mini$0.40$1.60$0.0586$586
Mistral Large 3$0.50$1.50$0.0702$702
Qwen3.5 397B$0.60$3.60$0.0951$951
Kimi K2.6$0.95$4.00$0.140$1,404
Claude Haiku 4.5$1.00$5.00$0.153$1,525
Grok 4.3$1.25$2.50$0.168$1,681
Qwen3.7 Max$1.25$3.75$0.176$1,756
GLM-5.2$1.40$4.40$0.198$1,979
Gemini 2.5 Pro$1.25$10.00$0.213$2,131
Mistral Medium 3.5$1.50$7.50$0.229$2,288
Gemini 3.5 Flash$1.50$9.00$0.238$2,378
GPT-4.1$2.00$8.00$0.293$2,930
Claude Sonnet 5$2.00$10.00$0.305$3,050
GPT-4o$2.50$10.00$0.366$3,663
GPT-5.4$2.50$15.00$0.396$3,962
GPT-5.6 Terra$2.50$15.00$0.396$3,962
Claude Sonnet 4.6$3.00$15.00$0.457$4,575
Kimi K3$3.00$15.00$0.457$4,575
Claude Opus 4.8$5.00$25.00$0.763$7,625
GPT-5.5$5.00$30.00$0.792$7,925
GPT-5.6 Sol$5.00$30.00$0.792$7,925
Claude Fable 5$10.00$50.00$1.53$15,250

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

What this agent does

The clean-path steps this benchmark prices:

  1. Assess Impact
  2. Reroute warranted?
  3. Generate Route Options
  4. Feasible option?
  5. Cost/impact material?
  6. Confidence high?
  7. Apply Reroute
  8. Notify Stakeholders

What drives the cost

This path runs 8 steps: 3 tool calls, 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 Rerouting outcome costs about 20x a single chat message ($0.457 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 Rerouting 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 Rerouting?

On the clean path with default assumptions, an agent for Rerouting costs about $0.0220 to $1.53 per outcome depending on the model, or roughly $220 to $15,250 per month at 10,000 outcomes. The cheapest model here is GPT-4o mini at $0.0220; the most expensive is Claude Fable 5 at $1.53.

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 Rerouting that adds up to about 20x the cost of a single chat message.

Which model is cheapest for Rerouting?

Across the 26 models benchmarked, GPT-4o mini is cheapest at $0.0220 per outcome and Claude Fable 5 is the most expensive at $1.53. 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 Rerouting?

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 Rerouting benchmark based on?

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