Pareto 26.9
pareto-26-9
Pareto 26.9 is an experimental multimodal composite model from Unbiased AI for research, coding, agentic workflows, and general-purpose tasks. It runs several frontier and open models for each request and returns a single selected or synthesized answer. This experimental release supports text and image input, tool calling, a 262K-token context window, and up to 131K output tokens. Its underlying model mix and behavior may change as it is evaluated. Request content may be retained for abuse prevention and security monitoring for up to 30 days, and is not used for model training without explicit consent.
Specification
most-agreed values
Context
262K
Max output
131K
Released
2026-09-18
Knowledge cutoff
—
Retires
—
Open weights
no
Input
text, image
Output
text
Price
US dollars per million tokens · most-agreed
Input
$2.50
Output
$7.50
Cache read
$0.25
Available from 3 hosts
| Host | In $/M | Out $/M | Cache rd | Cache wr | Context | Output | Retires |
|---|---|---|---|---|---|---|---|
| kilo · unbiased | $2.50 | $7.50 | $0.25 | — | 262K | 131K | — |
| nano-gpt · unbiased | $2.50 | $7.50 | $0.25 | — | 262K | 131K | — |
| openrouter · unbiased | $2.50 | $7.50 | $0.25 | — | 262K | 131K | — |
