FIREWORKS AI MODEL TOKEN COUNTER

code-llama-34b Token Counter

Count tokens for code-llama-34b and estimate API cost before you send a request. Counts run the exact Llama 3 tokenizer (published by Meta) in your browser. Your text never leaves the browser.

PROMPT

Paste text to count code-llama-34b tokens.

Expected output

Tokens

Words

Characters

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

16,384 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 code-llama-34b preselected.

code-llama-34b at a glance

Provider. Fireworks AI

Context window. 16,384 tokens (about 12,000 English words).

API pricing. $0.90 input / $0.90 output per 1M tokens.

Tokenizer. Llama 3 tokenizer (published by Meta) - exact, runs in your browser.

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 code-llama-34b prices against other providers.

FAQ

code-llama-34b token counter FAQ

How do I count tokens for code-llama-34b?

Paste your prompt into the counter on this page. code-llama-34b uses the Llama 3 tokenizer (published by Meta), and the count runs in your browser with the same published tokenizer, so the number matches what the API reports for plain text.

How much does code-llama-34b cost per token?

code-llama-34b costs $0.90 per 1 million input tokens and $0.90 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of code-llama-34b?

code-llama-34b has a context window of 16,384 tokens, which is roughly 12,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this code-llama-34b token count exact?

Yes. The page runs the Llama 3 tokenizer (published by Meta) in your browser, the same tokenization the Fireworks AI API applies, so counts are exact for plain text input.