XAI MODEL TOKEN COUNTER

grok-2-vision-1212 Token Counter

Count tokens for grok-2-vision-1212 and estimate API cost before you send a request. xAI does not publish this tokenizer, so counts are calibrated estimates for planning. Your text never leaves the browser.

PROMPT

Paste text to count grok-2-vision-1212 tokens.

Tokens

0

Words

0

Characters

0

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

32,768 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 grok-2-vision-1212 preselected.

grok-2-vision-1212 at a glance

Provider. xAI

Context window. 32,768 tokens (about 25,000 English words).

API pricing. $2.00 input / $10.00 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.

FAQ

grok-2-vision-1212 token counter FAQ

How do I count tokens for grok-2-vision-1212?

Paste your prompt into the counter on this page. xAI does not publish the grok-2-vision-1212 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 grok-2-vision-1212 cost per token?

grok-2-vision-1212 costs $2.00 per 1 million input tokens and $10.00 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of grok-2-vision-1212?

grok-2-vision-1212 has a context window of 32,768 tokens, which is roughly 25,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this grok-2-vision-1212 token count exact?

No. It is a clearly labeled estimate, because xAI has not released a public tokenizer for grok-2-vision-1212. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.