How this GPT Token Calculator works
How GPT counts tokens
GPT splits text into tokens with byte-pair encoding, so one token is roughly four English characters — but code, punctuation, emoji, and non-English text break that ratio, and even whitespace counts. For exact numbers use the tiktoken library or read the usage field the API returns. The part that surprises budgets: your system prompt, the full conversation history, and any retrieved context are re-sent as input tokens on every call, so a chat or agent feature's input grows turn over turn.
Choosing the right GPT model
Treat the lineup as a ladder. GPT-6 Astra is the premium tier for demanding work; GPT-6 Sol balances capability and cost; and GPT-6 Luna is the lowest-cost tier for high-volume jobs such as classification, extraction, and routing. The verified GPT-5.6 and GPT-5.4 families remain available for workloads pinned to those model IDs. Because output is priced well above input on every tier, anything that generates long answers is dominated by output cost — switch the model in the calculator above to compare the same workload across tiers before you commit.
What this estimate leaves out
The figure is a standard list-price baseline. It excludes cached-input discounts, the Batch API (much cheaper for non-urgent jobs), priority and flex tiers, image and audio tokens, and tool-call fees. Size your feature here, then reconcile against real OpenAI usage once traffic is live.