Models / unbiased/ Pareto 26.10 Preview

Pareto 26.10 Preview

unbiased · released Oct 1, 2026

Input: text and images. Output: text.InputOutput
Type
Closed
Input
None held
Output
None held
Cached
None held

We don't hold a list price for this model yet · hosted only — we have no record of published weights

Our take

Written Oct 1, 2026

Pareto 26.10 Preview is a hosted-only model that takes text and images and returns text, with a request capacity large enough for long documents in one go. Nothing here measures how good its answers are, so treat it as a candidate to trial rather than a proven pick.

Who should pick it

Try it when you want a hosted text-and-image model that can take a long document without splitting it up first, and you are willing to judge the output on your own work. We list no download for it, so using it means choosing a host. Skip it if you need measured quality evidence, a download, or licence terms you can read before building on it.

The case for it

  • Long documents need not be split up first: the request capacity takes them in a single request, though reliable recall across all of it is unverified in our data.
  • Both hosts list the same rate, so the choice between them is not about price.

The case against it

  • No benchmark scores are supplied, so its ability on any task needs a trial on work you can judge yourself.
  • We list no download for it and no licence is supplied, so you cannot run it yourself or check the terms before building on it.
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How good is it?

We hold no score for this model.

So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.

Where these scores come from →

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Where to rent it

Prices checked between 24 min and 26 min ago — each listing carries its own date.

Cheapest published offer

Unbiased, through OpenRouter

Cheapest of 2 live listings.

per 1M tokens
$0.80 in / $3.20 out
Context served
1M
Throughput
~42 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$0.80 / $3.20checked 26 min ago1Mnot measuredUnknownUnknownUnknown
UnbiasedThrough OpenRouter$0.80 / $3.20checked 24 min ago1M131K max reply42 tok/sNoYes30 daysConfirmed

Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 1 appears in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✓✗✗
UnbiasedThrough OpenRouter✓✗✗

Tool calling: 2 of 2 listings say yes. JSON output: 0 of 2 listings say yes, 2 say no. Strict schema: 0 of 2 listings say yes, 2 say no.

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When we formed this view

Recent changes

Oct 1, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Oct 1, 2026ReleasePareto 26.10 Preview listed
What movedNew model detected on OpenRouter: unbiased/pareto-26.10-preview
Oct 1, 2026AnnouncedPareto 26.10 Preview announced by unbiased

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • No independent board has scored it, so we hold no quality figures at all.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 2 listings does not say whether it trains on prompts.
  • We don't hold a list price for this model yet — the gap is ours, not the lab's.
  • We hold no batch or off-peak rate for any of its listings.
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Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text and images in, text out
Catalogue slug
unbiased-pareto-26-10-preview

Machine-readable model card (omc.json) →

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