GPT-6 Luna (max) Token Counter & Cost Calculator
Count tokens for GPT-6 Luna (max) and estimate the exact API cost — $0.10
per 1M input tokens, $0.50 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 GPT-6 Luna (max) against.
Cost lookup — GPT-6 Luna (max)
| Tokens | Cost on GPT-6 Luna (max) |
|---|---|
| 1K input tokens | 0.01¢ |
| 10K input tokens | 0.1¢ |
| 100K input tokens | $0.0100 |
| 1M input tokens | $0.1000 |
| 1K output tokens | 0.05¢ |
| 10K output tokens | 0.5¢ |
FAQ
How accurate is the GPT-6 Luna (max) token count?
Exact: o200k_base is OpenAI's own tokenizer, the same encoding its API bills GPT-6 Luna (max) against. Paste your own text above to see the exact number for your prompt.
How is GPT-6 Luna (max) API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $0.10 + (output tokens ÷ 1,000,000) × $0.50 — GPT-6 Luna (max)'s official per-1M-token prices from Artificial Analysis.
Does this cover every reasoning-effort tier of GPT-6 Luna (max)?
Pricing shown is for the merged representative tier. GPT-6 Luna (max) groups 6 reasoning-effort variants: GPT-6 Luna (max), GPT-6 Luna (xhigh), GPT-6 Luna (high), GPT-6 Luna (medium), GPT-6 Luna (low), GPT-6 Luna (Non-reasoning).
See full GPT-6 Luna (max) pricing & benchmarks, or the main token counter for every model.