LLM Reference

Arcee Maestro Models by Arcee AI

Arcee AIApache 2.0Open source
1 model2025Up to 128k ctx

Details

ResearcherArcee AI
LicenseApache 2.0(OSI)
Commercial useCommercial use allowed
Models1
Released2025
Max context128k

Capabilities

ReasoningAll models
Function CallingAll models
Tool UseAll models
Structured OutputsAll models

Links

Website

About

Arcee AI Maestro is a flagship 32B reasoning and analysis model fine-tuned with DPO from Qwen 2.5-32B.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

1 in view

Use when the workload needs 128k context, 32B parameters, and reasoning.

2025-12128k context32B parametersreasoning

Release Timeline

1 release group
2025-12
1 current
Arcee Maestro Reasoning
128k context32B parametersreasoning
Current

Specifications(1 models)

Arcee Maestro model specifications comparison
ModelReleasedContextParametersReasoningFn CallingTool UseStructured Outputs
Arcee Maestro Reasoning2025-12128k32BYesYesYesYes

Frequently Asked Questions

What is Arcee Maestro used for?
Arcee Maestro is used for reasoning, agent workflows and tool use, and structured outputs. The family description and listed model capabilities point to those workloads as the best fit.
How does Arcee Maestro compare to AFM?
Arcee Maestro by Arcee AI is strongest where you need reasoning, while AFM by Arcee AI is the closest related family to check for adjacent model selection. Arcee Maestro has 1 listed variant and reaches up to 128k context, while AFM reaches up to 66k context, so compare the specs and pricing tables before choosing a production model.
Which Arcee Maestro model should I use?
If price is the main constraint, use the pricing table first because Arcee Maestro does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Arcee Maestro Reasoning with 128k context and reasoning, tool use, function calling, and structured outputs.