Configure Model Mix
Set your AI model distribution and blended costs per million tokens.
Model Selection
Blended Cost Analysis
Input tokens (per million)
$2.50
Output tokens (per million)
$10.00
Input/Output ratio
3:1
Effective cost per million
$4.38
Model Pricing Reference
| Model | Input ($/M) | Output ($/M) | Context Window |
|---|---|---|---|
| GPT-4o | $2.50 | $10.00 | 128K |
| GPT-4o-mini | $0.15 | $0.60 | 128K |
| Claude 3.5 Sonnet | $3.00 | $15.00 | 200K |
| Claude 3.5 Haiku | $0.25 | $1.25 | 200K |
Define Usage Patterns
Configure token volumes, caching strategies, and agent behavior patterns.
Token Volume
Total input + output tokens per average user
Top 10% users consume X times average
Caching Strategy
Effective cost reduction
21%
Agent Behavior
Configure Pricing
Define your product pricing tiers and overage policies.
Pricing Model
Overage & Limits
Margin Analysis
Real-time profitability metrics and customer segment analysis.
Customer Economics
Average cost per user
$8.75
Average revenue per user
$99.00
Gross margin
91.2%
Contribution margin
$90.25
Segment Analysis
Profitable customers
85%
Underwater customers
15%
Power user margin
-23%
Break-even point
2.2M tokens
Margin Distribution by Usage
Agent Loop Detection
Simulate and prevent runaway costs from autonomous agent loops.
Loop Parameters
Impact Analysis
Worst-case tokens
60,000
Worst-case cost
$0.26
Monthly risk exposure
$130
Affected users
~50/month
Loop Detection Visualization
Data Management
Auto-Save
Auto-saving enabled