Arcee AI: Maestro Reasoning
arcee-ai/maestro-reasoning
Description
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.
How this model compares
Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.
Price (per 1M tokens)
Min
Max
This model
336 models in this groupPrice (per 1M tokens)
- Min
- $0.04
- Avg
- $12.381012
- Max
- $750.00
This model: $3.30 / 1M tokens
Context length (tokens)
Min
Max
This model
336 models in this groupContext length (tokens)
- Min
- 4,095 tokens
- Avg
- 382,115.467 tokens
- Max
- 10,000,000 tokens
This model: 131,072 tokens
Capabilities
Text → TextContext: 131,072 tokens
Input:
Text
Output:
Text