AI Cost Intelligence · FinOps Tools

AI Token Calculator

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

70+Models Tracked
12Providers
3Tools in One

Instant Token Counter

Paste your text — see tokens & cost

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

Heuristic: 1 token ≈ 4 characters of English text (~¾ of a word). Actual token counts vary by model and language — OpenAI tiktoken, Anthropic's tokeniser, and Google SentencePiece all differ slightly. 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 (non-empty)
0
paragraph count
Input cost
text as prompt
Output cost
same-length reply
Total round-trip
input + equal-length output

Cost Projector

Project your AI spend by usage volume

Enter expected usage parameters. Costs are projected daily, monthly, and annually across all text models — sorted cheapest first.

Active users per day
Avg queries per user
System prompt + user msg
Model response length
Business days/month
Narrow comparison

Monthly Volume Summary

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

Cost Comparison — All Models

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

* Projections based on published list prices (USD/1M tokens, Q1 2026). Assumes flat usage across working days. Actual costs may vary with volume discounts, caching, or reserved capacity. Embedding and image models excluded. Trinfac recommends building a chargeback model around projected spend to ensure AI 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. 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.