GLM-5.3 (Max) Token Counter & Cost Calculator

Count tokens for GLM-5.3 (Max) and estimate the exact API cost — $1.40 per 1M input tokens, $4.40 per 1M output tokens — using a real o200k_base BPE tokenizer. Everything runs in your browser; nothing is uploaded.

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GLM-5.3 (Max)

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input cost
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output cost (est.)
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total per request

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

Close estimate (±15%): Z AI does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation.

Cost lookup — GLM-5.3 (Max)

TokensCost on GLM-5.3 (Max)
1K input tokens0.14¢
10K input tokens$0.0140
100K input tokens$0.1400
1M input tokens$1.40
1K output tokens0.44¢
10K output tokens$0.0440

FAQ

How accurate is the GLM-5.3 (Max) 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-5.3 (Max) API cost calculated?

Cost = (input tokens ÷ 1,000,000) × $1.40 + (output tokens ÷ 1,000,000) × $4.40 — GLM-5.3 (Max)'s official per-1M-token prices from Artificial Analysis.

Does this cover every reasoning-effort tier of GLM-5.3 (Max)?

Pricing shown is for the merged representative tier. GLM-5.3 (Max) groups 2 reasoning-effort variants: GLM-5.3 (Max), GLM-5.3 (Low).

See full GLM-5.3 (Max) pricing & benchmarks, or the main token counter for every model.