Token budget to USD
ClientFinance-friendly view of token quotas.
Nearby workflows on Toolcore
- LLM token estimate — Rough character-based token planning for prompts and context—CJK-aware heuristic, browser-only—not tokenizer-exact. when you want a second pass with AI-assisted explanation on Toolcore.
- Context window fit check — See if pasted text fits a 4K–1M token window with a rough CJK-aware heuristic—plan headroom before chat paste, browser-only. when you want a second pass with AI-assisted explanation on Toolcore.
- Messages JSON token breakdown — Per-message rough token counts from OpenAI-style chat JSON—sum roles locally for API payload planning, not tokenizer-exact. when you want a second pass with AI-assisted explanation on Toolcore.
- AI & ML terms glossary — Searchable English reference for LLM, RAG, tokenizer, embedding, and safety vocabulary—static, in your browser, no generative API. when you want a second pass with AI-assisted explanation on Toolcore.
Common use cases
- Token budget to USD for LLM workflow planning without uploading data to a model API.
- Copy rough estimates into tickets, agent manifests, or compliance checklists.
Common mistakes to avoid
Treating heuristics as exact tokenizer counts
Results are browser-side approximations; provider tokenizers may differ.
FAQ
Is processing local?
Yes—this runs entirely in your browser with rough char/token heuristics.
Agent prefill?
Use q or qb for the main text field when supported.
More tools
Related utilities you can open in another tab—mostly client-side.
LLM token estimate
ClientRough character-based token planning for prompts and context—CJK-aware heuristic, browser-only—not tokenizer-exact.
Context window fit check
ClientSee if pasted text fits a 4K–1M token window with a rough CJK-aware heuristic—plan headroom before chat paste, browser-only.
Messages JSON token breakdown
ClientPer-message rough token counts from OpenAI-style chat JSON—sum roles locally for API payload planning, not tokenizer-exact.
AI & ML terms glossary
ClientSearchable English reference for LLM, RAG, tokenizer, embedding, and safety vocabulary—static, in your browser, no generative API.