Qwen3.8 27B (Xhigh) Token Counter & Cost Calculator

Count tokens for Qwen3.8 27B (Xhigh) and estimate the exact API cost — $0.50 per 1M input tokens, $3.00 per 1M output tokens — using a real o200k_base BPE tokenizer. Everything runs in your browser; nothing is uploaded.

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Qwen3.8 27B (Xhigh)

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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%): Alibaba does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation.

Cost lookup — Qwen3.8 27B (Xhigh)

TokensCost on Qwen3.8 27B (Xhigh)
1K input tokens0.05¢
10K input tokens0.5¢
100K input tokens$0.0500
1M input tokens$0.5000
1K output tokens0.3¢
10K output tokens$0.0300

FAQ

How accurate is the Qwen3.8 27B (Xhigh) token count?

Close estimate (±15%): Alibaba 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 Qwen3.8 27B (Xhigh) API cost calculated?

Cost = (input tokens ÷ 1,000,000) × $0.50 + (output tokens ÷ 1,000,000) × $3.00 — Qwen3.8 27B (Xhigh)'s official per-1M-token prices from Artificial Analysis.

Does this cover every reasoning-effort tier of Qwen3.8 27B (Xhigh)?

Pricing shown is for the merged representative tier. Qwen3.8 27B (Xhigh) groups 4 reasoning-effort variants: Qwen3.8 27B (Xhigh), Qwen3.8 27B (Medium), Qwen3.8 27B (Low), Qwen3.8 27B (Non-reasoning).

See full Qwen3.8 27B (Xhigh) pricing & benchmarks, or the main token counter for every model.