DEEPINFRA MODEL TOKEN COUNTER

gemma-3-12b-it Token Counter

Count tokens for gemma-3-12b-it 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 gemma-3-12b-it tokens.

Expected output

Tokens

Words

Characters

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

131,072 token context window0%

Need optimization suggestions, a token heatmap, monthly cost projection, or a side-by-side model comparison? Open the full analyzer with gemma-3-12b-it preselected.

gemma-3-12b-it at a glance

Provider. DeepInfra

Context window. 131,072 tokens (about 98,000 English words).

API pricing. $0.05 input / $0.10 output per 1M tokens.

Tokenizer. Not public; counts on this page are calibrated estimates.

Pricing source. The community-maintained LiteLLM pricing dataset, refreshed 2026-08-11. 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 gemma-3-12b-it prices against other providers.

FAQ

gemma-3-12b-it token counter FAQ

How do I count tokens for gemma-3-12b-it?

Paste your prompt into the counter on this page. DeepInfra does not publish the gemma-3-12b-it 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 gemma-3-12b-it cost per token?

gemma-3-12b-it costs $0.05 per 1 million input tokens and $0.10 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-08-11.

What is the context window of gemma-3-12b-it?

gemma-3-12b-it has a context window of 131,072 tokens, which is roughly 98,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this gemma-3-12b-it token count exact?

No. It is a clearly labeled estimate, because DeepInfra has not released a public tokenizer for gemma-3-12b-it. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.