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Interactive 3D/LLM Token Cost Monitor
LLM Token Cost Monitor - GPT-4o
Daily Cost
$256.00
Monthly Projected
$7680
Cost/User/Mo
$0.03
Cache Savings
Off
Daily Token Cost (Last 7 Days)⚠ Over $5000/mo threshold
alertMon$181.3Tue$234.8Wed$240.4Thu$207.1Fri$183.4Sat$162.1Sun$153.9
Cost by Use Case
RAG Queries$3072/mo
Summarization$2304/mo
Classification$1536/mo
Code Generation$768/mo
Model Cost Comparison (same workload)
GPT-4o$7680/mo
Claude Sonnet$10368/mo
Llama 3.1 70B$1210/mo
Token Cost Monitor
Track and optimize LLM API spend
Model
$/1M input / output tokens
Daily Requests
50K req/day
10K50K100K500K
Context Length
1K tokens
5121K4K8K
Cost Alert
Threshold: $5000/mo
Status: OVER
Optimization Tips
Semantic caching, shorter system prompts, output length limits, and right-sizing model to task are the four highest-leverage levers.

LLM Token Cost Monitor - Interactive Visualization

LLM token costs scale with three variables: requests per day, average context length (input tokens), and the model's per-token pricing. GPT-4o charges $2.50/M input tokens and $10/M output tokens. Claude Sonnet charges $3.00/$15.00. Llama 3.1 70B hosted charges $0.59/$0.79 - 5x cheaper for high-volume workloads. Semantic caching stores embeddings of previous inputs and returns cached responses for semantically similar queries, reducing effective input token cost by 30-40% on repetitive workloads like RAG.

  • Compare GPT-4o, Claude Sonnet, and Llama 3.1 70B hosted on identical workloads - see the cost difference at 50K requests/day
  • Adjust context length from 512 to 8K tokens - output cost grows proportionally, input cost grows with context
  • Toggle semantic caching to see 35% savings on input tokens for repetitive queries like RAG lookups
  • Track the monthly cost alert threshold - get a visual warning when projected spend exceeds $5,000/month

Part of the EngineersOfAI Interactive 3D - free interactive visualizations covering every major concept in machine learning and AI engineering. Hover any element for a plain-English explanation. No code required.