Nano Banana Pro Token Counter & Cost Calculator
Count tokens for Nano Banana Pro and estimate the exact API cost — $2.00
per 1M input tokens, $120.00 per 1M output tokens — using a real
o200k_base BPE tokenizer. Everything runs in your browser; nothing is uploaded.
Nano Banana Pro
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 |
|---|---|---|---|---|
| GPT-6.1 Terra | 1.00 | 5.00 | $0 | $0 |
| Kimi K3.1 Pro | 2.00 | 10.00 | $0 | $0 |
| MiniMax-M3.1-Flash | 0.15 | 0.60 | $0 | $0 |
| DeepSeek V4.1 Flash 1017 | 0.15 | 0.60 | $0 | $0 |
| Mercury 3 | 0.10 | 0.35 | $0 | $0 |
| Gemini 4 Argon | 2.00 | 10.00 | $0 | $0 |
| Muse Wonder | 4.00 | 20.00 | $0 | $0 |
| Claude Haiku 5.5 | 0.10 | 0.50 | $0 | $0 |
Close estimate (±15%): Google does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation.
Cost lookup — Nano Banana Pro
| Tokens | Cost on Nano Banana Pro |
|---|---|
| 1K input tokens | 0.2¢ |
| 10K input tokens | $0.0200 |
| 100K input tokens | $0.2000 |
| 1M input tokens | $2.00 |
| 1K output tokens | $0.1200 |
| 10K output tokens | $1.20 |
FAQ
How accurate is the Nano Banana Pro token count?
Close estimate (±15%): Google does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation. Paste your own text above to see the exact number for your prompt.
How is Nano Banana Pro API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $2.00 + (output tokens ÷ 1,000,000) × $120.00 — Nano Banana Pro's per-1M-token prices (Google's official list price as recorded by models.dev).
See full Nano Banana Pro pricing & benchmarks, or the main token counter for every model.