FIREWORKS AI MODEL TOKEN COUNTER

flux-1-dev Token Counter

Count tokens for flux-1-dev 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 flux-1-dev tokens.

Expected output

Tokens

Words

Characters

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

4,096 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 flux-1-dev preselected.

flux-1-dev at a glance

Provider. Fireworks AI

Context window. 4,096 tokens (about 3,000 English words).

API pricing. $0.10 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 2026-07-01. Community-tracked rates can lag provider changes; confirm with the provider before budgeting.

Other Fireworks AI model token counters

chronos-hermes-13b-v2 code-llama-13b code-llama-13b-instruct code-llama-13b-python code-llama-34b code-llama-34b-python code-llama-70b code-llama-70b-python code-llama-7b code-llama-7b-instruct code-llama-7b-python code-qwen-1p5-7b

Or browse the full model token counter directory and the LLM pricing comparison table to see how flux-1-dev prices against other providers.

FAQ

flux-1-dev token counter FAQ

How do I count tokens for flux-1-dev?

Paste your prompt into the counter on this page. Fireworks AI does not publish the flux-1-dev 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 flux-1-dev cost per token?

flux-1-dev costs $0.10 per 1 million input tokens and $0.10 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of flux-1-dev?

flux-1-dev has a context window of 4,096 tokens, which is roughly 3,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this flux-1-dev token count exact?

No. It is a clearly labeled estimate, because Fireworks AI has not released a public tokenizer for flux-1-dev. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.