NEBIUS MODEL TOKEN COUNTER

Qwen2.5-32B-Instruct Token Counter

Count tokens for Qwen2.5-32B-Instruct and estimate API cost before you send a request. Nebius does not publish this tokenizer, so counts are calibrated estimates for planning. Your text never leaves the browser.

PROMPT

Paste text to count Qwen2.5-32B-Instruct tokens.

Expected output

Tokens

Words

Characters

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

128,000 token context window 0%

Need optimization suggestions, a token heatmap, monthly cost projection, or a side-by-side model comparison? Open the full analyzer with Qwen2.5-32B-Instruct preselected.

Qwen2.5-32B-Instruct at a glance

Provider. Nebius

Context window. 128,000 tokens (about 96,000 English words).

API pricing. $0.06 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.

Other Nebius model token counters

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Or browse the full model token counter directory and the LLM pricing comparison table to see how Qwen2.5-32B-Instruct prices against other providers.

FAQ

Qwen2.5-32B-Instruct token counter FAQ

How do I count tokens for Qwen2.5-32B-Instruct?

Paste your prompt into the counter on this page. Nebius does not publish the Qwen2.5-32B-Instruct 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.

How much does Qwen2.5-32B-Instruct cost per token?

Qwen2.5-32B-Instruct costs $0.06 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.

What is the context window of Qwen2.5-32B-Instruct?

Qwen2.5-32B-Instruct has a context window of 128,000 tokens, which is roughly 96,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this Qwen2.5-32B-Instruct token count exact?

No. It is a clearly labeled estimate, because Nebius has not released a public tokenizer for Qwen2.5-32B-Instruct. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.