Maestro Reasoning
openrouter/maestro-reasoningBy openrouter · released 2025-05-05 · knowledge: 2025-03-31
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capabilities
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding3
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents16
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output22
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume12/20
Cost efficiency47
- Headline price (log-scaled)47/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Production-readiness65
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $6.15 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $12.30 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $3.45 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $10.50 $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $12.78 $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Pricing detail
Recommended pricing from openrouter · arcee-ai/maestro-reasoning
Available on 1 providers
| Provider | Provider model id | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|---|
| OpenRouter openrouter | arcee-ai/maestro-reasoning | $0.900 | $3.30 | 131K | 2025-05-05 |
Frequently asked questions
How much does Maestro Reasoning cost?
Maestro Reasoning costs $0.900 per 1M input tokens and $3.30 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Maestro Reasoning?
Maestro Reasoning has a context window of 131K tokens, with a max output of 32K tokens per reply. This is the total combined size of prompt + completion.
Does Maestro Reasoning support tool calling?
No. Maestro Reasoning does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Maestro Reasoning support structured output / JSON mode?
No. Maestro Reasoning does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Maestro Reasoning accept image input?
No. Maestro Reasoning only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Maestro Reasoning open-weight?
No. Maestro Reasoning is a proprietary model — only openrouter (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Maestro Reasoning?
If Maestro Reasoning doesn't fit, consider INTELLECT-3, LFM2-24B-A2B, LFM2.5-1.2B-Thinking (free). Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More openrouter models
- INTELLECT-3$0.20 in / $1.10 out
- LFM2-24B-A2B$0.03 in / $0.12 out
- LFM2.5-1.2B-Thinking (free)Unknown pricing
- LFM2.5-1.2B-Instruct (free)Unknown pricing
- ReMM SLERP 13B$0.45 in / $0.65 out
Last updated:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.