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Arcee AI: Maestro Reasoning

arcee-ai/maestro-reasoning

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.

Modalities

Context

131K

Released

May 5, 2025

Knowledge Cutoff

Mar 2025

About Arcee AI: Maestro Reasoning

OpenRouter makes Arcee AI: Maestro Reasoning available through a unified, OpenAI-compatible API using the model ID arcee-ai/maestro-reasoning.

Arcee AI: Maestro Reasoning accepts text and returns text. It has a 131,072-token context window.

It was released on May 5, 2025; its knowledge cutoff is March 31, 2025.

More models from Arcee AI

  • Trinity Large Thinking
  • Virtuoso Large

Frequently asked questions

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.

Maestro Reasoning has a 131,072 token context window.

Trinity Large Thinking and Virtuoso Large are other text models from Arcee AI.

Maestro Reasoning was released on May 5, 2025. Its knowledge cutoff is March 31, 2025.

ActivityFAQ

Activity

Token volume and request traffic to this model over time.