AI Cost Intelligence · FinOps Tools

AI Token Calculator

Paste your text to count tokens instantly, or enter usage volumes to project your AI API costs across 70+ models and 12 providers. Powered by Trinfac FinOps methodology.

70+ Models Tracked
12 Providers
3 Tools in One

Instant Token Counter

Paste your text — see tokens & cost

Counts tokens using the standard 4-characters = 1 token heuristic. Select a model to see the live cost estimate for your text.

Heuristic: 1 token ≈ 4 characters of English text, or roughly ¾ of a word. Actual token counts vary by model and language — OpenAI's tiktoken, Anthropic's tokeniser, and Google's SentencePiece all produce slightly different counts for the same text. This tool uses the widely-accepted 4-character approximation for fast estimation.

Estimated Tokens
0
≈ 4 characters per token
Characters
0
incl. spaces
Words
0
whitespace-split
Lines
0
non-empty
Input cost
for this text as prompt
Output cost
if model replies same length
Total round-trip cost
input + equal-length output

Cost Projector

Project your AI spend by usage volume

Enter your expected usage parameters. Costs are projected daily, monthly, and annually across top models so you can compare options side-by-side.

Active users sending queries per day
Average queries per user per working day
System prompt + user message (~750 typical)
Model response length (~250 typical)
Business days in a typical month
Filter comparison by provider

Monthly Volume Summary

Messages / Day
Messages / Month
Input Tokens / Month
Output Tokens / Month

Cost Comparison Across Models

Provider Model Daily Cost Monthly Cost Annual Cost Per User/Month

* Projections based on published list prices (USD per 1M tokens, Q1 2026). Assumes flat daily usage across all working days. Actual costs may differ with volume discounts, prompt caching, reserved capacity, or API tier pricing. Embedding and image-generation models are excluded from this view. Trinfac recommends building a chargeback model around projected spend to ensure cost accountability across teams.

Pricing Reference

Full Model Pricing Table

70+ models across 12 providers. Click column headers to sort. Search or filter to narrow results.

0 models shown
Provider Model Category Input / 1M Output / 1M Context Features

How token pricing works: Input tokens are the text you send to the model (system prompt + user message). Output tokens are the text the model generates in response. Output is typically 3–5× more expensive than input. Embedding models only have input costs. For on-demand usage, costs are billed per token with no commitment required.

Ready to Optimise AI Costs?

Turn pricing data into savings.

Trinfac's FinOps consultants help you choose the right model mix, negotiate volume pricing, and build chargeback frameworks for your AI operations.