by UnbiasedReleased 17 September 2026
Unbiased's Pareto, a composite model that reads text and images and calls tools, built for research, coding and agent workflows and claimed by its maker to perform at frontier level on general tasks
Reads about 260 pages · writes up to 130 pages
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Shaping the reply
How long, how varied, where to stop.
max_tokenstemperaturetop_pStructured output
Get JSON you can parse instead of prose.
response_formatTools
Let the model call your functions.
toolstool_choiceNo. Unbiased has retired it. Other Unbiased models are on sale.
Unbiased's Pareto, a composite model that reads text and images and calls tools, built for research, coding and agent workflows and claimed by its maker to perform at frontier level on general tasks.
Unbiased names no languages for Pareto. Arabic, French and Darja: not stated.
It reads text and images. Up to 262K tokens in one request, about 260 pages. It writes up to 98 000 words at once.
No. Unbiased has not published its weights.
Unbiased. Released 17 September 2026.
Pareto 26.10 is a multimodal composite model for research, coding and agentic workflows that reads text and images, calls your tools and holds a million tokens in view, with frontier-level performance on general-purpose tasks
A multimodal composite model for research, coding and agentic work that runs several models on each request without switching mid-conversation, reads text and images in a 262,144-token window and calls your tools
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 13 Oct 2026.
Thinks first No.
Works through the problem before it answers.
Uses your tools
Can call functions your code provides.
Fills your JSON No.
Answers in the JSON shape you give it.
Searches the web No.
Can look things up online while it answers.
Cheaper on repeats
A prompt it saw a moment ago costs less the second time.
Research a technical question and write up the answer
Write and debug a feature in an existing codebase
Run an agent that calls your tools
Uses your tools