Atlas / Models / Arcee Ai / Arcee AI: Virtuoso Large

Arcee AI: Virtuoso Large✓ Catalog verified

arcee-ai/virtuoso-large

Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k context inherited from Qwen 2.5, letting it ingest books, codebases or financial filings wholesale. Training blended DeepSeek R1 distillation, multi‑epoch supervised fine‑tuning and a final DPO/RLHF alignment stage, yielding strong performance on BIG‑Bench‑Hard, GSM‑8K and long‑context Needle‑In‑Haystack tests. Enterprises use Virtuoso‑Large as the "fallback" brain in Conductor pipelines when other SLMs flag low confidence. Despite its size, aggressive KV‑cache optimizations keep first‑token latency in the low‑second range on 8× H100 nodes, making it a practical production‑grade powerhouse.

Input price
$0.75 /1M
Output price
$1.20 /1M
Context
131K
Modalities
text
Released
May 5, 2025
Tool calling
✓ Yes
Atlas signal
85/100
01

Overview

Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k context inherited from Qwen 2.5, letting it ingest books, codebases or financial filings wholesale. Training blended DeepSeek R1 distillation, multi‑epoch supervised fine‑tuning and a final DPO/RLHF alignment stage, yielding strong performance on BIG‑Bench‑Hard, GSM‑8K and long‑context Needle‑In‑Haystack tests. Enterprises use Virtuoso‑Large as the "fallback" brain in Conductor pipelines when other SLMs flag low confidence. Despite its size, aggressive KV‑cache optimizations keep first‑token latency in the low‑second range on 8× H100 nodes, making it a practical production‑grade powerhouse.

Access: available through the official Arcee Ai API. Context window: 131K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierarcee-ai/virtuoso-large
ProviderArcee Ai
Model typeText LLM
Context window131K catalog
Input modalitiestext
Output modalitiestext
ReleasedMay 5, 2025
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltystoptemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for arcee-ai/virtuoso-large as published in the catalog.

$0.75
Input /1M
$1.20
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$7.5e-7$0.75 / 1MPer input token
Completion tokens$0.0000012$1.20 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.61Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Arcee AI: Virtuoso Large
MMLU Signal (Reasoning)
85signal
Coding Signal (HumanEval proxy)
95signal
Math Signal (GSM8K proxy)
79signal
Science Signal (GPQA proxy)
79signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Arcee AI: Virtuoso Large through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="arcee-ai/virtuoso-large",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Arcee AI: Virtuoso Large cost?

$0.75 per 1M input tokens and $1.20 per 1M output tokens on the official Arcee Ai API.

What is the context window of Arcee AI: Virtuoso Large?

Arcee AI: Virtuoso Large supports up to 131K tokens of context.

Does Arcee AI: Virtuoso Large support tool / function calling?

Yes, Arcee AI: Virtuoso Large supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Arcee AI: Virtuoso Large?

Use the official Arcee Ai API with the model id `arcee-ai/virtuoso-large`. See the Quick start section above for code examples.