Sarvam 30B (high) Token Counter & Cost Calculator
Count tokens for Sarvam 30B (high) and estimate the exact API cost — $0.026
per 1M input tokens, $0.11 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%): Sarvam does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation.
Cost lookup — Sarvam 30B (high)
| Tokens | Cost on Sarvam 30B (high) |
|---|---|
| 1K input tokens | 0.0026¢ |
| 10K input tokens | 0.026¢ |
| 100K input tokens | 0.26¢ |
| 1M input tokens | $0.0260 |
| 1K output tokens | 0.011¢ |
| 10K output tokens | 0.11¢ |
FAQ
How accurate is the Sarvam 30B (high) token count?
Close estimate (±15%): Sarvam 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 Sarvam 30B (high) API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $0.026 + (output tokens ÷ 1,000,000) × $0.11 — Sarvam 30B (high)'s official per-1M-token prices from Artificial Analysis.
See full Sarvam 30B (high) pricing & benchmarks, or the main token counter for every model.