TokenMath.net was created to solve a persistent frustration among AI developers: existing token counters and cost calculators are either outdated, locked into a single provider, slow, or rely on server endpoints that harvest prompt text.
Every tokenization and cost computation runs strictly within your browser runtime. Your proprietary system prompts, customer data, and code never touch any external server.
We run native byte-pair encoding (BPE) for OpenAI o200k and cl100k vocabularies, paired with empirically benchmarked subword tokenizers for Claude, Gemini, DeepSeek, and Llama 3.
Pricing is updated weekly and directly cross-referenced against official documentation from OpenAI, Anthropic, Google Cloud, DeepSeek, and Together AI, complete with prompt caching rates.
Large Language Models use Byte-Pair Encoding (BPE) or SentencePiece tokenizers to break raw UTF-8 strings into discrete token IDs. Because different model families employ distinct vocabulary sizes (from 65k to 256k), 1,000 words in GPT-4o does not translate into the same token count in Claude 3.5 or Gemini 2.0.
TokenMath.net is an independent engineering project. We do not accept paid ranking placements for models. All model rankings in the Price Matrix and Budget Planner are purely determined by mathematical formulas and verified pricing rates.
Start counting tokens or modeling prompt caching savings now.