ALIBABA MODEL TOKEN COUNTER
Count tokens for qwen-turbo and estimate API cost before you send a request. Alibaba does not publish this tokenizer, so counts are calibrated estimates for planning. Your text never leaves the browser.
PROMPT
Tokens
0
Words
0
Characters
0
Input cost
$0.00
Output cost
$0.00
Total request
$0.00
Need optimization suggestions, a token heatmap, monthly cost projection, or a side-by-side model comparison? Open the full analyzer with qwen-turbo preselected.
Provider. Alibaba
Context window. 129,024 tokens (about 97,000 English words).
API pricing. $0.05 input / $0.20 output per 1M tokens.
Tokenizer. Not public; counts on this page are calibrated estimates.
Pricing source. The community-maintained LiteLLM pricing dataset, refreshed 2026-07-01. Community-tracked rates can lag provider changes; confirm with the provider before budgeting.
See the Qwen Token Counter for all Alibaba models in one counter. Or browse the full model token counter directory and the LLM pricing comparison table to see how qwen-turbo prices against other providers.
FAQ
Paste your prompt into the counter on this page. Alibaba does not publish the qwen-turbo tokenizer, so the count is a calibrated estimate based on text length, language, and structure. Treat it as planning guidance rather than an exact billing number.
qwen-turbo costs $0.05 per 1 million input tokens and $0.20 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.
qwen-turbo has a context window of 129,024 tokens, which is roughly 97,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.
No. It is a clearly labeled estimate, because Alibaba has not released a public tokenizer for qwen-turbo. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.