Arcee AI: Virtuoso Large

Public pricingIntelligence 79/100Medium memory工具调用

Arcee AI: Virtuoso Large 是一款文本模型，适合推理与问题求解。它结合了深度推理与规划、131K tokens上下文和均衡成本定位，可在reasoning, analysis, and hard problem solving中提供可靠表现。它适合重视质量、速度与成本的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$0.75/1M

Output

$1.20/1M

Cached

$0.09/1M

Batch

$0.45/1M

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What would Virtuoso Large cost you?

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Technical specifications

Virtuoso Large at a glance.

Memory

131,072

tokens

Max reply

64,000

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

May 2025

Training cutoff

Dec 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Virtuoso Large

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Virtuoso Large — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Virtuoso Large costs roughly $104 per month. Input is $0.75 /1M tokens and output is $1.20 /1M tokens.
Virtuoso Large has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Virtuoso Large supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Virtuoso Large was released in May 2025, with training data cut off around December 2024.
Models in a similar class include Maestro Reasoning, Coder Large, Trinity Large Thinking. The "Similar models" section below this FAQ links into each.

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