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How much does an AI agent cost to run Proposal Drafting?

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

An agent for Proposal Drafting on the clean path costs about $0.0304 to $2.10 per outcome depending on the model, around 27x the cost of a single chat message. At 10,000 outcomes a month that is roughly $304 to $21,020.
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Cost per outcome by model

Model$/1M in$/1M outCost / outcomeCost / month*
GPT-4o mini$0.15$0.60$0.0304$304
Llama 4 Maverick$0.27$0.85$0.0529$529
Gemini 2.5 Flash$0.30$2.50$0.0709$709
GPT-4.1 mini$0.40$1.60$0.0810$810
DeepSeek V4$0.43$0.87$0.0813$813
Mistral Large 3$0.50$1.50$0.0973$973
Qwen3.5 397B$0.60$3.60$0.131$1,308
Kimi K2.6$0.95$4.00$0.194$1,938
Claude Haiku 4.5$1.00$5.00$0.210$2,102
Grok 4.3$1.25$2.50$0.234$2,335
Qwen3.7 Max$1.25$3.75$0.243$2,432
GLM-5.2$1.40$4.40$0.274$2,740
Gemini 2.5 Pro$1.25$10.00$0.292$2,920
Mistral Medium 3.5$1.50$7.50$0.315$3,153
Gemini 3.5 Flash$1.50$9.00$0.327$3,270
GPT-4.1$2.00$8.00$0.405$4,048
Claude Sonnet 5$2.00$10.00$0.420$4,204
GPT-4o$2.50$10.00$0.506$5,060
GPT-5.4$2.50$15.00$0.545$5,450
GPT-5.6 Terra$2.50$15.00$0.545$5,450
Claude Sonnet 4.6$3.00$15.00$0.631$6,306
Kimi K3$3.00$15.00$0.631$6,306
Claude Opus 4.8$5.00$25.00$1.05$10,510
GPT-5.5$5.00$30.00$1.09$10,900
GPT-5.6 Sol$5.00$30.00$1.09$10,900
Claude Fable 5$10.00$50.00$2.10$21,020

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

What this agent does

The clean-path steps this benchmark prices:

  1. Gather Requirements
  2. Enough info?
  3. Select Template
  4. Configure Products
  5. Calculate Pricing
  6. Discount > threshold?
  7. Draft Proposal
  8. Standard terms?
  9. Assemble & QA
  10. Send Proposal

What drives the cost

This path runs 10 steps: 3 tool calls, 4 reasoning steps and 3 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 Proposal Drafting outcome costs about 27x a single chat message ($0.631 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 Proposal Drafting 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 Proposal Drafting?

On the clean path with default assumptions, an agent for Proposal Drafting costs about $0.0304 to $2.10 per outcome depending on the model, or roughly $304 to $21,020 per month at 10,000 outcomes. The cheapest model here is GPT-4o mini at $0.0304; the most expensive is Claude Fable 5 at $2.10.

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 Proposal Drafting that adds up to about 27x the cost of a single chat message.

Which model is cheapest for Proposal Drafting?

Across the 26 models benchmarked, GPT-4o mini is cheapest at $0.0304 per outcome and Claude Fable 5 is the most expensive at $2.10. 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 Proposal Drafting?

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 Proposal Drafting benchmark based on?

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