Arcee AI: Maestro Reasoning

Public pricingIntelligence 79/100Medium memoryगहरी सोचटूल उपयोग

Arcee AI: Maestro Reasoning एक टेक्स्ट मॉडल है, जिसे तर्क और समस्या समाधान के लिए बनाया गया है। यह गहरी तर्कशक्ति और योजना, 131K tokens का context और संतुलित लागत profile जोड़कर reasoning, analysis, and hard problem solving में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

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?

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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.

Alternatives

Similar models to compare.

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.

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