Atlas / Models / Arcee Ai / Arcee AI: Maestro Reasoning

Arcee AI: Maestro Reasoning✓ Catalog verified

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.

Input price
$0.90 /1M
Output price
$3.30 /1M
Context
131K
Modalities
text
Released
May 5, 2025
Tool calling
Atlas signal
87/100
01

Overview

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.

Access: available through the official Arcee Ai API. Context window: 131K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierarcee-ai/maestro-reasoning
ProviderArcee Ai
Model typeText LLM
Context window131K catalog
Input modalitiestext
Output modalitiestext
ReleasedMay 5, 2025
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltystoptemperaturetop_ktop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for arcee-ai/maestro-reasoning as published in the catalog.

$0.90
Input /1M
$3.30
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$9e-7$0.90 / 1MPer input token
Completion tokens$0.0000033$3.30 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$1.11Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool CallingNot advertisedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Arcee AI: Maestro Reasoning
MMLU Signal (Reasoning)
85signal
Coding Signal (HumanEval proxy)
89signal
Math Signal (GSM8K proxy)
88signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Arcee AI: Maestro Reasoning through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="arcee-ai/maestro-reasoning",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
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Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Arcee AI: Maestro Reasoning cost?

$0.90 per 1M input tokens and $3.30 per 1M output tokens on the official Arcee Ai API.

What is the context window of Arcee AI: Maestro Reasoning?

Arcee AI: Maestro Reasoning supports up to 131K tokens of context.

Does Arcee AI: Maestro Reasoning support tool / function calling?

Arcee AI: Maestro Reasoning does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.

How do I access Arcee AI: Maestro Reasoning?

Use the official Arcee Ai API with the model id `arcee-ai/maestro-reasoning`. See the Quick start section above for code examples.