Jamba 1.5 Large Token Counter & Cost Calculator
Count tokens for Jamba 1.5 Large 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 |
|---|
Close estimate (±15%): AI21 Labs does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation.
Cost lookup — Jamba 1.5 Large
| Tokens | Cost on Jamba 1.5 Large |
|---|---|
| 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 Jamba 1.5 Large token count?
Close estimate (±15%): AI21 Labs 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 Jamba 1.5 Large API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $2.00 + (output tokens ÷ 1,000,000) × $8.00 — Jamba 1.5 Large's official per-1M-token prices from Artificial Analysis.
See full Jamba 1.5 Large pricing & benchmarks, or the main token counter for every model.