AI Agent StoreUnbiased · Catalog verified
Pareto 26.10 · OpenRouter
A hosted option for the stable October service, which combines several models into one answer. Its token prices match the published native quote; access and data handling still depend on the service you choose.
Catalog added 2026-10-15 UTC · Checked 2026-11-03. The native stable release was announced October 15. This newly observed OpenRouter offer is separate from the retired preview.
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.
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-26.10. This is a service that combines models, not a single downloadable model. Earlier preview evaluations are not new measurements of the stable version.
Unbiased now documents this exact OpenRouter ID. OpenRouter handles the bill and its own data rules also apply. The zero-retention promise covers designated API traffic, not Unbiased Chat or Personal subscriptions. This model is separate from OpenRouter’s own Pareto Code Router.
OpenRouter lists 1,048,576 context tokens and 131,072 maximum output tokens. The native provider separately advertises one-million-token context without an exact output limit here.
Rates describe the catalog offer observed on 2026-11-03. Allow for retries and any tool fees. Models that think before answering may also charge for that work.
Provider release and specifications ↗
Inspect the exact catalog model ↗
More setup and licensing details ↗
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 ↗