Author's 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...
Key Specifications
Supported Parameters
This model supports the following parameters:
Performance Summary
Arcee AI: Maestro Reasoning, a 32B-parameter model derived from Qwen 2.5-32B, demonstrates exceptional performance across several key metrics. It consistently ranks among the fastest models and offers highly competitive pricing across seven benchmarks. With a 99% success rate, its reliability is outstanding, indicating minimal technical failures. Maestro Reasoning excels in specific categories, achieving perfect accuracy in Ethics and Email Classification, where it is noted as the most accurate model at its price point and among models of comparable speed. It also shows strong performance in Reasoning (98.0% accuracy, 88th percentile), Mathematics (93.9% accuracy, 76th percentile), and Coding (92.0% accuracy, 73rd percentile). Its General Knowledge accuracy is solid at 99.3%. A significant weakness is observed in Instruction Following, where it scored 0.0% accuracy. Key strengths include its robust reasoning capabilities, high accuracy in classification and ethical scenarios, and its ability to handle complex, multi-constraint queries as highlighted by its description. The model's structured "thought → answer" traces are a notable feature for audit-focused industries. The 128k context window and improved pass rates on MATH and GSM-8K further enhance its analytical prowess.
Model Pricing
Current Pricing
| Feature | Price (per 1M tokens) |
|---|---|
| Prompt | $0.9 |
| Completion | $3.3 |
Price History
Available Endpoints
| Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
|---|---|---|---|---|
|
Together
|
Together | arcee-ai/maestro-reasoning | 131K | $0.9 / 1M tokens | $3.3 / 1M tokens |
Benchmark Results
| Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
|---|
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