o3 Token Counter & Cost Calculator
Count tokens for o3 and estimate the exact API cost — $2.00
per 1M input tokens, $8.00 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 against.
Cost lookup — o3
| Tokens | Cost on o3 |
|---|---|
| 1K input tokens | 0.2¢ |
| 10K input tokens | $0.0200 |
| 100K input tokens | $0.2000 |
| 1M input tokens | $2.00 |
| 1K output tokens | 0.8¢ |
| 10K output tokens | $0.0800 |
FAQ
How accurate is the o3 token count?
Exact: o200k_base is OpenAI's own tokenizer, the same encoding its API bills o3 against. Paste your own text above to see the exact number for your prompt.
How is o3 API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $2.00 + (output tokens ÷ 1,000,000) × $8.00 — o3's official per-1M-token prices from Artificial Analysis.
See full o3 pricing & benchmarks, or the main token counter for every model.