o3-pro Token Counter & Cost Calculator
Count tokens for o3-pro and estimate the exact API cost — $20.00
per 1M input tokens, $80.00 per 1M output tokens — using a real
o200k_base BPE tokenizer. Everything runs in your browser; nothing is uploaded.
Counts are exact for OpenAI models (o200k_base is GPT-4o/4.1/5's tokenizer). For Claude, Gemini and other vendors — whose tokenizers are not public — treat the count as a close estimate (typically within ±15%).
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Cost of this text across popular models
| Model | Input $/1M | Output $/1M | This text (input) | +500 output tokens |
|---|
Exact: o200k_base is OpenAI's own tokenizer, the same encoding its API bills o3-pro against.
Cost lookup — o3-pro
| Tokens | Cost on o3-pro |
|---|---|
| 1K input tokens | $0.0200 |
| 10K input tokens | $0.2000 |
| 100K input tokens | $2.00 |
| 1M input tokens | $20.00 |
| 1K output tokens | $0.0800 |
| 10K output tokens | $0.8000 |
FAQ
How accurate is the o3-pro token count?
Exact: o200k_base is OpenAI's own tokenizer, the same encoding its API bills o3-pro against. Paste your own text above to see the exact number for your prompt.
How is o3-pro API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $20.00 + (output tokens ÷ 1,000,000) × $80.00 — o3-pro's official per-1M-token prices from Artificial Analysis.
See full o3-pro pricing & benchmarks, or the main token counter for every model.