Six tools to help you estimate, compare, and optimize LLM API costs before you spend a dollar. Everything runs in your browser — no data leaves your machine.
Paste any text and instantly see the estimated token count across GPT-4o, Claude, DeepSeek, Gemini, and 49+ models. Compare how different models tokenize your content.
Count tokens →Estimate your monthly AI spend based on model, token volume, and call frequency. Automatically finds the top 10 cheaper alternatives sorted by savings percentage.
Calculate costs →Paste your LLM prompt and detect whitespace waste, repeated instructions, verbose phrasing, and filler words. Get an optimized version with 10-40% fewer tokens.
Optimize prompt →Configure an LLM API request visually — choose provider, model, and parameters. Get production-ready code in cURL, Python, Node.js, or PHP ready to copy.
Build request →Compare 49+ models side by side. Filter by use case (chatbot, coding, RAG), budget, and provider. Sort by price or context window to find the best fit.
Compare models →Calculate the return on investment for AI automation. Enter human costs vs LLM costs — see monthly savings, payback period, and a 12-month projection instantly.
Calculate ROI →Whether you're estimating costs before building, optimizing spend in production, or making the business case for AI — there's a tool for that.
Estimate costs and choose the right model before writing a single line of code.
Generate API code and optimize prompts to ship faster and cheaper.
Build the business case for AI with concrete numbers your CFO will trust.
Yes. All 6 tools are free with no signup, no account, and no usage limits. Everything runs client-side in your browser — your data never leaves your machine. We built them to help developers estimate and optimize AI costs, whether or not they use Tokonomics.
All tools run entirely in your browser using JavaScript. No prompts, tokens, or cost data are sent to our servers or any third party. You can verify this by checking the Network tab in your browser's developer tools — zero outgoing requests during tool usage.
Pricing data is synced weekly from official provider documentation (OpenAI, Anthropic, Google, DeepSeek, Mistral, Groq, xAI, Cohere). Token counts use the ~4 characters per token approximation, which is accurate within 5-10% for English text. For exact production costs, sign up for Tokonomics to track real token usage from your API calls.
These tools help you estimate and plan. Tokonomics is a production proxy that sits between your app and any LLM provider, tracking exact token counts, costs, and latency on every real API call. It adds budget alerts, hard spending caps, and per-feature cost breakdowns that static calculators can't provide.