Context Window
131,072
Tokens
Model Cost Profile
Arcee AI: Maestro Reasoning
Developer: arcee-ai
Pricing updated Mar 11, 2026
Input rank: #239Output rank: #247
Arcee AI: Maestro Reasoning offers a substantial context window of 131,072 tokens, making it suitable for complex tasks such as legal document analysis and extensive research projects. Teams utilizing this API model can expect input costs of $0.90 per million tokens and output costs of $3.30 per million tokens, which can significantly impact budget planning for large-scale applications. Its advanced reasoning capabilities enable effective decision-making in various industries, including finance, healthcare, and content generation.
Input Price / 1M
$0.9000
Prompt tokens
Output Price / 1M
$3.30
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.9000 |
| Output (Completion) | $3.30 |
Price History
Arcee AI: Maestro Reasoning Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$0.9000
Current Output / 1M
$3.30
Cost Calculator
Estimate monthly spend for Arcee AI: Maestro Reasoning based on your workload.
01.0B
0500M
Estimated Monthly Cost
$62
25M input + 12M output tokens
Cheaper Alternatives to Compare
Quick links for cost-down decisions before production rollout.
FAQ
Common pricing and benchmark questions for Arcee AI: Maestro Reasoning.
How much does Arcee AI: Maestro Reasoning cost per 1M input tokens?
Arcee AI: Maestro Reasoning input pricing is $0.9000 per 1M tokens based on the latest synced provider data.
How much does Arcee AI: Maestro Reasoning cost per 1M output tokens?
Arcee AI: Maestro Reasoning output pricing is $3.30 per 1M tokens based on the latest synced provider data.
What context window does Arcee AI: Maestro Reasoning support?
Arcee AI: Maestro Reasoning supports a context window of 131,072 tokens.
How can I compare Arcee AI: Maestro Reasoning with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.