LLM cost analysis for bgshih/crnn: 0 API call sites across no detected providers. Interactive per-request calculator included.
bgshih/crnn's LLM spend is driven by 0 call sites across no detected providers. Models in active use include none yet detected.
Cost estimates require usage telemetry — connect monitoring to see live monthly spend.
Per-request token analysis not available — likely because no system prompt or tool definitions were found.
Cost grade C+. Use the interactive calculator on this page to model alternate provider/model splits.
Cost Efficiency Grade
Cost efficiency is needs improvement
How we scored this
Your cost efficiency score of 62 is normalized from a 110-point scale. All detected models (none) are premium-tier — mixing in smaller models for simpler tasks could significantly reduce costs.
Adding a smaller model (e.g., GPT-4o-mini, Claude Haiku, Gemini Flash) for simpler tasks would add +20 points, moving you from C+ to B+.
Models Detected
LLM Call Locations
Estimate costs using published model pricing and your own volume inputs.
Model
Daily API Calls
1,000Avg Tokens per Request
1,000gpt-4.1 pricing
Input: $2/1M tokens · Output: $8/1M tokens
These estimates use published model pricing. Actual costs depend on your call volume, prompt length, and response size.
