Qwen Token Counter
Qwen models use a byte-level BPE tokenizer with a ~152k vocabulary that is particularly efficient on Chinese text. TokenMath counts Qwen tokens with a calibrated estimate, typically within ±3%.
Universal AI Token Counter
Zero-latency, client-side BPE tokenization with real-time multi-model benchmarks.
Qwen Models: Context Windows & Token Prices
| Model | Context Window | Input / 1M | Output / 1M | Token Count Accuracy |
|---|---|---|---|---|
| Qwen3 235B-A22B | 128k tokens | $0.455 | $1.82 | Calibrated Qwen Tokenizer (±3%) |
How Qwen Tokenization Works
Qwen models split text with the Qwen BPE tokenizer, a Byte-level BPE scheme with a ~152,000 tokens vocabulary. Common words map to one token, while rare words, identifiers and non-Latin scripts are split into several subword pieces. Read how BPE and SentencePiece tokenization work for the details.
- Chinese text often needs fewer Qwen tokens than the same text under English-centric tokenizers.
- Hosted Qwen pricing varies by provider; TokenMath tracks the providers listed on each model page.
Once you know your token count, estimate a full monthly bill with the LLM cost calculator, or see every Alibaba / Qwen model price.
Qwen Token Counter FAQ
How do I count Qwen tokens?
Paste your prompt into the counter above with a Qwen model selected. TokenMath tokenizes the text in your browser and shows the token count, context window usage and input cost. Accuracy: Calibrated Qwen Tokenizer (±3%).
What tokenizer does Qwen use?
Qwen models are counted with the Qwen BPE tokenizer (Byte-level BPE, ~152,000 tokens vocabulary). Qwen models use a byte-level BPE tokenizer with a ~152k vocabulary that is particularly efficient on Chinese text.
How many words is 1,000 Qwen tokens?
For typical English prose, 1,000 tokens is roughly 700–750 words. Code, JSON and non-English text use more tokens per word, so count the actual text when budgeting.
How much does Qwen3 235B-A22B cost per token?
Qwen3 235B-A22B costs $0.455 per 1M input tokens and $1.82 per 1M output tokens. That's $0.00046 per 1,000 input tokens.