AI Token Cost Calculator
Model your monthly cloud bill across leading AI providers. Fine-tune token distribution and discover significant architectural cost savings.
Quick Workload Presets
Pick a ready-made scenario or customize your token volume below.
Token & Usage Parameters
By switching or routing background tasks from GPT-4o to Gemini 1.5 Flash, your team saves up to $2,270 annually.
Lowest cost per token, high-frequency tasks, real-time audio/video
State-of-the-art open economics, high-performance general intelligence
High-volume text processing, fast chatbots, classification
Open-weights privacy, self-hosting or ultra-cheap hosted inferencing
Rapid code completion, customer service, structured data extraction
Fast STEM reasoning, competitive programming at lower cost
Massive context (2M tokens), full video/audio analysis, large codebases
Multilingual tasks, European compliance, enterprise code generation
Complex multimodal reasoning, coding, and production apps
Software engineering, nuanced writing, complex agentic workflows
Advanced mathematics, algorithmic coding, PhD-level scientific logic
How to Accurately Estimate LLM API Spend
1. Measure Real Token Ratios
In production, conversational and RAG apps usually have an input-to-output token ratio between 3:1 and 8:1. Long system prompts and retrieved documents drive up input tokens, while responses are usually concise.
2. Exploit Prompt Caching
For repetitive system prompts (e.g., 2,000 token instructions), caching provides up to 90% discounts on Anthropic Claude 3.5 and 50% on OpenAI GPT-4o.
3. Implement Model Cascading
Route 70% of mundane queries (formatting, sentiment, intent detection) to low-cost models like GPT-4o Mini or Gemini 1.5 Flash ($0.15/1M), saving expensive flagship calls for hard reasoning.