GLM-4.6 (Non-reasoning) Token Counter & Cost Calculator
Count tokens for GLM-4.6 (Non-reasoning) and estimate the exact API cost — $0.575
per 1M input tokens, $2.20 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%): Z AI does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation.
Cost lookup — GLM-4.6 (Non-reasoning)
| Tokens | Cost on GLM-4.6 (Non-reasoning) |
|---|---|
| 1K input tokens | 0.0575¢ |
| 10K input tokens | 0.575¢ |
| 100K input tokens | $0.0575 |
| 1M input tokens | $0.5750 |
| 1K output tokens | 0.22¢ |
| 10K output tokens | $0.0220 |
FAQ
How accurate is the GLM-4.6 (Non-reasoning) token count?
Close estimate (±15%): Z AI 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 GLM-4.6 (Non-reasoning) API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $0.575 + (output tokens ÷ 1,000,000) × $2.20 — GLM-4.6 (Non-reasoning)'s official per-1M-token prices from Artificial Analysis.
See full GLM-4.6 (Non-reasoning) pricing & benchmarks, or the main token counter for every model.