Arcee AI: Maestro Reasoning

Public pricingIntelligence 79/100Medium memory深度思考工具调用

Arcee AI: Maestro Reasoning 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

$0.90/1M

Output

$3.30/1M

Cached

$0.09/1M

Batch

$0.45/1M

Calculate your Maestro Reasoning bill.

Set your workload — see cost at your exact volume.

What would Maestro Reasoning cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Maestro Reasoning at a glance.

Memory

131,072

tokens

Max reply

32,000

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 Maestro Reasoning

  • Multi-step reasoning, research agents, or hard math.
  • 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.

FAQ

Maestro Reasoning — 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, Maestro Reasoning costs roughly $200 per month. Input is $0.90 /1M tokens and output is $3.30 /1M tokens.
Maestro Reasoning 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, Maestro Reasoning supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Maestro Reasoning was released in May 2025, with training data cut off around December 2024.
Models in a similar class include Trinity Large Thinking, Claude Haiku 4.5, Hermes 4 405B. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Maestro Reasoning against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.