Skip to content
  1.  
  2. © 2023 – 2025 OpenRouter, Inc

    Arcee AI: Maestro Reasoning

    arcee-ai/maestro-reasoning

    Created May 5, 2025131,072 context
    $0.90/M input tokens$3.30/M output tokens

    Maestro Reasoning is Arcee's flagship analysis model: a 32 B‑parameter derivative of Qwen 2.5‑32 B tuned with DPO and chain‑of‑thought RL for step‑by‑step logic. Compared to the earlier 7 B preview, the production 32 B release widens the context window to 128 k tokens and doubles pass‑rate on MATH and GSM‑8K, while also lifting code completion accuracy. Its instruction style encourages structured "thought → answer" traces that can be parsed or hidden according to user preference. That transparency pairs well with audit‑focused industries like finance or healthcare where seeing the reasoning path matters. In Arcee Conductor, Maestro is automatically selected for complex, multi‑constraint queries that smaller SLMs bounce.

    Providers for Maestro Reasoning

    OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

    Performance for Maestro Reasoning

    Compare different providers across OpenRouter

    Apps using Maestro Reasoning

    Top public apps this week using this model

    Recent activity on Maestro Reasoning

    Total usage per day on OpenRouter

    Uptime stats for Maestro Reasoning

    Uptime stats for Maestro Reasoning across all providers

    Sample code and API for Maestro Reasoning

    OpenRouter normalizes requests and responses across providers for you.

    OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

    In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

    Using third-party SDKs

    For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

    See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.