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Unbiased · Composite system

Pareto 26.9

Pareto combines answers from several models for research, coding and multi-step work. This named September version is newly covered here; it is not an October base-model launch.

Released 2026-09-17 · Catalog added 2026-10-13 UTC · Checked 2026-10-15. Catalog addition and provider launch are separate dates.

We still need comparable independent tests. You can compare the confirmed features and limits below, but we cannot yet give this version an Agent Fit or Practical Value rating. Test it on your own tasks before switching; results for another version or thinking setting may not apply.

Input / 1M tokens$2.5Routed catalog offer · USD
Output / 1M tokens$7.5Routed catalog offer · USD
Provider-listed capacity262KSee input limits below
Cached input / 1M$0.25Routed catalog offer · USD

What you can use today

Token prices measure the small pieces of text the model reads or produces. Capacity is the amount the service accepts in a request; check the limits below for any fallback to another model. A dash means the rate is unverified.

Exact catalog ID: unbiased/pareto-26.9. OpenRouter lists text and image input, tools and a 262,144-token context. The composite uses several models rather than one standalone checkpoint.

The OpenRouter moving alias ~unbiased/pareto-latest currently points to 26.9 and can change. The native API documents only pareto, and currently accepts unknown IDs without rejecting them; a successful native response does not prove that a named version was selected.

The displayed $2.50 input, $0.25 cache read and $7.50 output rates are this named OpenRouter offer. Composite provider evaluations are not an independent matched score. Your bill can also include tools, retries and charged thinking tokens. Check the offer used by your application.

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Test it before switching

Give each model the same examples, tools and definition of success. Record correct outcomes, response time, retries and total cost. A cheaper token price does not guarantee a cheaper completed task.

Compare caching and long-context costs ↗
AI Agent Store · Model comparisons · Data reviewed 2026-10-15Sources, limitations & corrections ↗