Models / Arcee AI/ Virtuoso Large

Virtuoso Large

Arcee AI · released Jun 9, 2025 · arcee-ai/Virtuoso-Large-GGUF

Input: text. Output: text.InputOutput
Type
Open weightsCustom licence
Params
Not published
Context
131K

about 98K words of context · download allowed, licence restricts use

Our take

Written Aug 2, 2026

Virtuoso Large is a text-only model from Arcee AI that can handle up to 131,072 tokens in a single request. Released in 2025 under a custom restricted licence, it arrives with no published parameter count and no benchmark scores in our data.

Who should pick it

Consider this when you need substantial context for long-document processing and the custom licence terms work for your use case. Skip it if you need measured quality data to justify cost, a permissive licence like Apache 2.0, or any insight into model size and likely capability.

The case for it

  • 131,072-token request limit — among the longer contexts we track for long-document work.
  • Two hosted offers with identical pricing, giving a choice of provider without price hunting.

The case against it

  • No measured quality data: zero benchmark scores in our data with no verified performance baseline.
  • Custom restricted licence, not a permissive standard; terms are unspecified in our data.
  • Parameter count undisclosed, so there is no way to assess efficiency or likely capability.
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How good is it?

We hold no score for this model.

We look for every model we track on every board we watch, and none of them has turned up Virtuoso Large — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.

The boards we watch →

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Or rent it from someone else

Cheapest published offer

Cheapest of 2 live listings. Picked at the widest standard context we hold, within one quantisation slice, so the numbers beside it are a price one host actually charges.

per 1M tokens
$0.75 in / $1.20 out
Context served
131K
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouter$0.75 / $1.20131Knot measuredUnknownUnknownUnknown
Together AI$0.75 / $1.20131Knot measuredNoNoConfirmed

Across the 2 listings we hold: 1 say they do not train on prompts, 0 say they do and 1 do not say. 1 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.

What each host's API supports

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

Supported
Not supported
Not published
host gave no parameter list
API features per host
ProviderTool callingJSON outputStrict schema
OpenRouter
Together AI

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

Dates behind this page

Jul 26, 2026ListedListed on LLMapfirst indexed by our pipeline
Jun 9, 2025AnnouncedVirtuoso Large announced by Arcee AI

Prices last checked 6h ago

What we do not know about this model yet

  • No board we watch has turned up a score, 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 do not say whether they train on prompts.
  • We hold no cached-input rate for any of its listings.
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Licence and identifiers

What the licence allowsCustom licence, what it allows commercially, and the identifiers you need to pull this model — its Hugging Face repo, our slug and a machine-readable card.

Licence

Custom licence

restricted_openCustom licence — review the terms

This model ships custom license terms that don't map to a known template. We haven't parsed them, so commercial use, redistribution and derivatives are unverified — review the original terms before shipping.

Identifiers

Modality record
text->text
Catalogue slug
arcee-ai-virtuoso-large

Machine-readable model card (omc.json) →

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