GLM-5.3-Flash Token Counter & Cost Calculator
Count tokens for GLM-5.3-Flash and estimate the exact API cost — $0.1195
per 1M input tokens, $0.4183 per 1M output tokens — using a real
o200k_base BPE tokenizer. Everything runs in your browser; nothing is uploaded.
GLM-5.3-Flash
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%): Zhipu AI does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation.
Cost lookup — GLM-5.3-Flash
| Tokens | Cost on GLM-5.3-Flash |
|---|---|
| 1K input tokens | 0.012¢ |
| 10K input tokens | 0.12¢ |
| 100K input tokens | $0.0120 |
| 1M input tokens | $0.1195 |
| 1K output tokens | 0.0418¢ |
| 10K output tokens | 0.418¢ |
FAQ
How accurate is the GLM-5.3-Flash token count?
Close estimate (±15%): Zhipu 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-5.3-Flash API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $0.1195 + (output tokens ÷ 1,000,000) × $0.4183 — GLM-5.3-Flash's per-1M-token prices (Zhipu AI's official list price as recorded by models.dev).
See full GLM-5.3-Flash pricing & benchmarks, or the main token counter for every model.