DEEPINFRA MODEL TOKEN COUNTER

WizardLM-2-8x22B Token Counter

Count tokens for WizardLM-2-8x22B and estimate API cost before you send a request. DeepInfra does not publish this tokenizer, so counts are calibrated estimates for planning. Your text never leaves the browser.

PROMPT

Paste text to count WizardLM-2-8x22B tokens.

Expected output

Tokens

Words

Characters

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

65,536 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 WizardLM-2-8x22B preselected.

WizardLM-2-8x22B at a glance

Provider. DeepInfra

Context window. 65,536 tokens (about 49,000 English words).

API pricing. $0.48 input / $0.48 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.

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Or browse the full model token counter directory and the LLM pricing comparison table to see how WizardLM-2-8x22B prices against other providers.

FAQ

WizardLM-2-8x22B token counter FAQ

How do I count tokens for WizardLM-2-8x22B?

Paste your prompt into the counter on this page. DeepInfra does not publish the WizardLM-2-8x22B 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 WizardLM-2-8x22B cost per token?

WizardLM-2-8x22B costs $0.48 per 1 million input tokens and $0.48 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of WizardLM-2-8x22B?

WizardLM-2-8x22B has a context window of 65,536 tokens, which is roughly 49,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this WizardLM-2-8x22B token count exact?

No. It is a clearly labeled estimate, because DeepInfra has not released a public tokenizer for WizardLM-2-8x22B. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.