Maestro Reasoning

Other chattool_usereasoning

API ID: arcee-ai/maestro-reasoning

Input Price
$0.90
/1M tokens
Output Price
$3.30
/1M tokens

About Maestro Reasoning

Maestro Reasoning is Arcee AI's reasoning-enhanced model, designed for tasks requiring careful analytical thinking. The model demonstrates improved performance on complex reasoning and logical analysis. Maestro Reasoning excels at problems requiring step-by-step thinking. For enterprise applications requiring genuine reasoning capability, Maestro offers specialized analytical performance.

💰
Price Ranking
#859 lowest price among 950 Chat models

Model Specifications

Context Length
131k
Max Output
32k
Release Date
2025-05-05
Capabilities
chat tool_use reasoning
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$1.40
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$43.20
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$59.85
/month
500 analyses/day, ~2k tokens each

Other Model Lineup

Compare all models from Other to find the best fit

Model Input Output Context Capabilities
Maestro Reasoning Current Free Free 131k chat tool_use reasoning
Riverflow V2 Max Preview Free Free 8k chat vision image_gen
Riverflow V2 Standard Preview Free Free 8k chat vision image_gen
Riverflow V2 Fast Preview Free Free 8k chat vision image_gen
AFM 4.5B Free Free 66k chat
AFM 4.5B Free Free 66k chat

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🚀 Quick Start

Get started with Maestro Reasoning API

OpenAI-compatible SDK
from openai import OpenAI

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

response = client.chat.completions.create(
    model="arcee-ai/maestro-reasoning",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)