Query & Architecture Inputs
Base rate adjusted with Abacus AI platform routing markup
150
Total user or system invocations per day
1,200
System prompt + direct user instructions
4,000
Retrieved context chunks injected per query turn
2.5
Multi-hop turns per query (amplifies context history)
800
Average completion length generated by LLM
15%
Orchestration overhead markup (1.15x = 15%)
Consumption & Forecast Summary
Monthly USD Cost
$32.40
$1.08 / day
Monthly Credits
3,240
100 Credits = $1.00
Daily Token Volume
1,080,000
780k In / 300k Out
Effective Single-Query Token Amplification Map
7,200 tokens
Base Prompt
RAG Context
Agent Hop Amplification
Output Completion
Cost Optimization Recommendation
Switching routine queries to Claude 3.5 Haiku or Llama 3.1 70B for standard multi-hop tool routing saves 68% credit usage.
Multi-Model Credit Burn Comparison Matrix
| Model | Input / Output Rate ($/M) | Monthly Cost (USD) | Monthly Credits | Cost Index |
|---|
Status: Computed | Monthly USD: $32.40 | Monthly Credits: 3,240 | Daily Tokens: 1080000