Arcee AI: Maestro Reasoning
Review
Arcee AI's Maestro Reasoning is positioned as a reasoning-focused model with a 131K context window, but without benchmark data its actual capability cannot be verified. The pricing is moderate but uncompetitive against well-benchmarked reasoning models at similar price points.
Assessment date: April 16, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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..
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
How does Arcee AI: Maestro Reasoning stack up?
Compare side-by-side with other legacy models.
Model Information
| OpenRouter ID |
arcee-ai/maestro-reasoning
|
| Provider | arcee-ai |
| Release Date | May 5, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 32,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.90 | $0.000900 |
| Output | $3.30 | $0.003300 |
