FIREWORKS AI MODEL TOKEN COUNTER

glm-4p5 Token Counter

Count tokens for glm-4p5 and estimate API cost before you send a request. Fireworks AI does not publish this tokenizer, so counts are calibrated estimates for planning. Your text never leaves the browser.

PROMPT

Paste text to count glm-4p5 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 glm-4p5 preselected.

glm-4p5 at a glance

Provider. Fireworks AI

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

API pricing. $0.55 input / $2.19 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 Fireworks AI model token counters

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Or browse the full model token counter directory and the LLM pricing comparison table to see how glm-4p5 prices against other providers.

FAQ

glm-4p5 token counter FAQ

How do I count tokens for glm-4p5?

Paste your prompt into the counter on this page. Fireworks AI does not publish the glm-4p5 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 glm-4p5 cost per token?

glm-4p5 costs $0.55 per 1 million input tokens and $2.19 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of glm-4p5?

glm-4p5 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 glm-4p5 token count exact?

No. It is a clearly labeled estimate, because Fireworks AI has not released a public tokenizer for glm-4p5. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.