Intelligent Dispatch & Arbitrage Lab

Enterprise Multi-Model Routing & Token Cost Arbitrage Simulator

Simulate and benchmark dynamic model routing (DeepSeek, Llama, Claude, GPT-4o) vs naive single-frontier ingestion. Calculate sub-15ms intent classification, token cost arbitrage, and cluster latency cuts.

Multi-Tier Routing & Arbitrage Benchmark

Elesium Cascading Router

Sub-15ms DeBERTa intent classification dispatches 50% to reflex models and 32% to workhorses, slashing monthly token expenditure by 74% with automated frontier escalation.

Cost Cut: 74.4% | Avg Latency: 380ms | Accuracy: 99.4%

Tier 1 Reflex Engine (DeepSeek V3 / Llama 3.3)

Handles high-volume extraction, classification, and formatting in sub-400ms at sub-cent rates ($0.27/M in vs $3.00/M on frontier models).

Traffic Share: 50% | Latency: 380ms | Cost: $0.27/M

Naive 100% Frontier Ingestion

Routing 100% of routine enterprise traffic to Claude 3.5 Sonnet or GPT-4o causes massive bill inflation and 1450ms+ average cluster queues.

Cost Multiplier: 3.9x | Latency: 1450ms | Single-Vendor Lock-in