tokenspeed — feel LLM tokens-per-second
How fast is 10 tokens per second really?
ccode<br>ttext<br>hthink<br>aagent
30<br>tok/s
15<br>210<br>320<br>430<br>560<br>6100<br>7200<br>8400<br>9800
Think length
5 sentences
ucustom text…
Use as text<br>Use as code<br>Clear
Upload file
space pause ·<br>+ / − adjust ·<br>1–9 presets ·<br>c / t / h / a mode · / > think length · u custom ·<br>n counter
0 tokens<br>⏸ PAUSED
Every local-LLM benchmark reports throughput: "47 tok/s on an M3,"<br>"180 tok/s on a 4090," "500 tok/s on Groq."<br>Unless you've actually watched tokens stream at those rates, the numbers are<br>hard to internalize. This is the rendering.
Four modes
code — syntax-highlighted pseudo-code, the most common thing you watch stream out of an LLM.
text — lorem ipsum prose, for the chat/answer case.
think — dim-italic reasoning sentences alternating with code, mimicking a reasoning model thinking out loud.
agent — alternating tool calls and code generation with processing pauses, simulating an AI coding agent.
What to try
Start at the default 30 and read along. Then hit<br>1 (5 tok/s — Raspberry-Pi-class local model),<br>5 (60 tok/s — typical hosted Claude or GPT),<br>7 (200 tok/s — Groq territory),<br>9 (800 tok/s — Cerebras-class, where the bottleneck is your eyeballs).
Now switch between c and t at the same rate.<br>The difference is striking — and intentional.
What counts as a token
This approximates BPE-style tokenization, not any vendor-specific encoder<br>(tiktoken, Claude's tokenizer, etc. — those disagree in the<br>details anyway).
Short words are often one token; longer identifiers split into chunks<br>(processUserInput → process + User + Input);<br>punctuation and operators usually count too.
Code is more token-dense than prose, so the same tok/s can feel very<br>different depending on what's streaming. The benchmark number is honest;<br>the perceptual effect varies a lot by content type — which is the gap this<br>tool exists to expose.
English prose averages ~1.3 tokens per word, so 30 tok/s ≈ 23 words/s.