Magistral Small 1.2 Token Counter & Cost Calculator
Count tokens for Magistral Small 1.2 and estimate the exact API cost — $0.50
per 1M input tokens, $1.50 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%).
Model price data failed to load — cost estimates are unavailable right now. Token counts above still work; try reloading the page.
Cost of this text across popular models
| Model | Input $/1M | Output $/1M | This text (input) | +500 output tokens |
|---|
Close estimate (±15%): Mistral does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation.
Cost lookup — Magistral Small 1.2
| Tokens | Cost on Magistral Small 1.2 |
|---|---|
| 1K input tokens | 0.05¢ |
| 10K input tokens | 0.5¢ |
| 100K input tokens | $0.0500 |
| 1M input tokens | $0.5000 |
| 1K output tokens | 0.15¢ |
| 10K output tokens | $0.0150 |
FAQ
How accurate is the Magistral Small 1.2 token count?
Close estimate (±15%): Mistral 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 Magistral Small 1.2 API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $0.50 + (output tokens ÷ 1,000,000) × $1.50 — Magistral Small 1.2's official per-1M-token prices from Artificial Analysis.
See full Magistral Small 1.2 pricing & benchmarks, or the main token counter for every model.