o3-mini Token Counter & Cost Calculator
Count tokens for o3-mini and estimate the exact API cost — $1.10
per 1M input tokens, $4.40 per 1M output tokens — using a real
o200k_base BPE tokenizer. Everything runs in your browser; nothing is uploaded.
o3-mini
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%).
Cost of this text across popular models
| Model | Input $/1M | Output $/1M | This text (input) | +500 output tokens |
|---|---|---|---|---|
| Claude Opus 5.5 (Max, Default Fallback) | 4.00 | 20.00 | $0 | $0 |
| Claude Sonnet 5.5 (Max, Default Fallback) | 2.00 | 10.00 | $0 | $0 |
| Claude Fable 5.1 (Max, Default Fallback) | 10.00 | 50.00 | $0 | $0 |
| GPT-6 Astra (Max) | 10.00 | 50.00 | $0 | $0 |
| Gemini 4 Argon (High) | 2.00 | 10.00 | $0 | $0 |
| Muse Wonder (Max) | 4.00 | 20.00 | $0 | $0 |
| GPT-6.1 Sol (Max) | 2.00 | 10.00 | $0 | $0 |
| Claude Opus 5 (Max) | 5.00 | 25.00 | $0 | $0 |
Exact: o200k_base is OpenAI's own tokenizer, the same encoding its API bills o3-mini against.
Cost lookup — o3-mini
| Tokens | Cost on o3-mini |
|---|---|
| 1K input tokens | 0.11¢ |
| 10K input tokens | $0.0110 |
| 100K input tokens | $0.1100 |
| 1M input tokens | $1.10 |
| 1K output tokens | 0.44¢ |
| 10K output tokens | $0.0440 |
FAQ
How accurate is the o3-mini token count?
Exact: o200k_base is OpenAI's own tokenizer, the same encoding its API bills o3-mini against. Paste your own text above to see the exact number for your prompt.
How is o3-mini API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $1.10 + (output tokens ÷ 1,000,000) × $4.40 — o3-mini's official per-1M-token prices from Artificial Analysis.
Does this cover every reasoning-effort tier of o3-mini?
Pricing shown is for the merged representative tier. o3-mini groups 2 reasoning-effort variants: o3-mini, o3-mini (High).
See full o3-mini pricing & benchmarks, or the main token counter for every model.