Question 1

How much does o3 cost?

Accepted Answer

o3 costs $2 per 1 million input tokens and $8 per 1 million output tokens. This pricing is set by OpenAI.

Question 2

What tokenizer does o3 use?

Accepted Answer

o3 uses the o200k_base tokenizer. This is OpenAI's latest tokenizer, optimized for efficiency with a vocabulary of ~200,000 tokens.

Question 3

What is o3's context window?

Accepted Answer

o3 supports a context window of 200K tokens (200,000 tokens). The maximum output length is 100K tokens.

Question 4

How does o3 compare to other models?

Accepted Answer

You can compare o3's pricing and capabilities against other LLMs in the comparison table above, or visit the full pricing page for a side-by-side view of all models.

Question 5

How do I count tokens for o3?

Accepted Answer

Use the token counter at the top of this page or visit the homepage calculator. Paste your text and it will show the exact token count and cost for o3 using the o200k_base tokenizer.

Model	Input / 1M	Output / 1M	Context	Max Output
o3	$2	$8	200K	100K
GPT-4.1	$2	$8	1.0M	33K
Gemini 2.5 Pro	$1.25	$10	1.0M	66K
Nova 2.0 Pro Reasoning	$1.25	$10	128K	33K

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