OPENAI MODEL TOKEN COUNTER
Count tokens for o3-mini and estimate API cost before you send a request. Counts run the exact o200k_base (OpenAI) in your browser. Your text never leaves the browser.
PROMPT
Tokens
0
Words
0
Characters
0
Input cost
$0.00
Output cost
$0.00
Total request
$0.00
Need optimization suggestions, a token heatmap, monthly cost projection, or a side-by-side model comparison? Open the full analyzer with o3-mini preselected.
Provider. OpenAI
Context window. 200,000 tokens (about 150,000 English words).
API pricing. $1.10 input / $4.40 output per 1M tokens.
Tokenizer. o200k_base (OpenAI) - exact, runs in your browser.
Pricing source. The community-maintained LiteLLM pricing dataset, refreshed 2026-07-01. Community-tracked rates can lag provider changes; confirm with the provider before budgeting.
See the OpenAI Token Counter for all OpenAI models in one counter. Or browse the full model token counter directory and the LLM pricing comparison table to see how o3-mini prices against other providers.
FAQ
Paste your prompt into the counter on this page. o3-mini uses the o200k_base (OpenAI), and the count runs in your browser with the same published tokenizer, so the number matches what the API reports for plain text.
o3-mini costs $1.10 per 1 million input tokens and $4.40 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.
o3-mini has a context window of 200,000 tokens, which is roughly 150,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.
Yes. The page runs the o200k_base (OpenAI) in your browser, the same tokenization the OpenAI API applies, so counts are exact for plain text input.