Agent Search vs Inference Economics Analyzer

LLM Inference Cost / 1k Tasks

$0.96

3,200 In / 800 Out tokens

Legacy Search Cost (Total)

$40.96

Search is 97.7% of total spend

Fast Search API Cost (Total)

$4.96

Savings: $36.00 / 1k tasks (87.9%)

Task Latency Speedup

2.75x

10.6s legacy vs 3.8s fast

Agent Architecture

Architecture Preset

Search Queries / Task 4

Input / Prompt Tokens 3,200

Output / Reasoning Tokens 800

Pricing & Latency Tiers

LLM Model Class

Legacy Search API ($ / 1k calls) $10.00

Fast Search API ($ / 1k calls) $1.00

Monthly Tasks Volume 100k

Cost Composition Breakdown ($/1k Tasks)

Latency Waterfall Profile (ms/Task)

Cost Crossover vs Search Invocations

Inversion Analysis: Under current settings, legacy search queries represent 97.7% of your AI Agent cost stack. Switching to $1/1k Fast Search cuts total unit cost by 87.9% and saves $3,600.00/month at 100k volume while dropping latency from 10.6s to 3.8s.