Pareto
unbiased/pareto · UnbiasedNot yet established- Declared family
- Unknown
- Entered catalogue
- 17 September 2026
- Last tested
- 5 October 2026
- Measured signature
- tk_7d8ce940
AI Desk · AI FingerprintingNew arrival
Pareto has a clean measured fingerprint that currently sits alone: no other measured model shares its signature.
Measured on 5 October 2026 through the endpoint Unbiased serves itself, with a fixed overhead of zero. The prompt counts it reports sit at about half of what any tokenizer on record produces, and on the strings that separate tokenizers they fall to one: a Chinese sentence of 18 characters is billed as one token, a 30-digit number as two, 63 characters of English prose as six. That is close to a word count. No vocabulary produces it, so the reading places nothing and agrees with nothing. The earlier Pareto 26.9 investigation, run while the model was listed as Union Alpha, read real token counts from three tokenizers behind one endpoint; the 26.10 preview, measured the same day as this record, reads as Llama 3 on 48 of 49 strings.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counted cleanly, and no other model in the catalogue counts the same way | tk_7d8ce940 |
| How its API is set up | Set up identically to 1 other listing, field for field | api_7c06b7a0 |
| How much it can read and write | Reads up to 262,144 tokens at once, writes up to 131,072 | its own listing |
| Who served our requests | Unbiased | we measured it, 5 October 2026 |
Click a row to open the full comparison.
We sent Pareto fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
Overhead subtracted: 0 prompt tokens.
Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.
Supported parameters
max_tokensresponse_formattemperaturetool_choicetoolstop_p
defaults: {}