All models

Arcee AI: Maestro Reasoning

by Arcee AI

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.

Avg Score

0.0%

0 answers

Avg Latency

0ms

0 runs

Pricing

$0.90

input

/

$3.30

output

per 1M tokens

Context

131K

tokens

Alternatives

Models with similar or better quality but different tradeoffs

No alternatives found

Run benchmarks on this model to discover alternatives

Other Models from Arcee AI

Compare performance with other models from the same creator

ModelScoreLatencyCost/1M
Arcee AI: Trinity Mini$0.0000
Arcee AI: Trinity Mini$0.10
Arcee AI: Spotlight$0.18
Arcee AI: Virtuoso Large$0.97
Arcee AI: Coder Large$0.65

Benchmark Performance

How this model performs across different benchmarks

No benchmark data available

Run benchmarks with this model to see performance breakdown

Price vs Performance

Compare cost efficiency across all models

Current model
Other models
X-axis uses log scale for better visualization of price range

Score Over Time

Performance trends across all benchmark runs

No score trend data

Score history will appear here after multiple runs

Benchmark Activity

Number of benchmark runs over time

No activity data

Activity will appear here after benchmark runs

Quickstart

Get started with this model using OpenRouter

View on OpenRouter
import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "arcee-ai/maestro-reasoning",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

Get your API key at openrouter.ai/keys