SargalaySargalay

Command Palette

Search for a command to run...

Back to all models
arcee-ai

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.

arcee-ai/maestro-reasoning

Context Size

131.072K

Input Price

5,535 Ks/M

Output Price

20,295 Ks/M


Architecture

Text

Supported Parameters

frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltystoptemperaturetop_ktop_p

Details

TokenizerOther
Max Completion32,000 tokens
Provider Context131.072K tokens
ModeratedNo