Trinity-Large-Thinking by Arcee
Open-weight frontier AI model for complex reasoning and multi-turn agent tasks, available via API.
| What is it | Open-weight frontier AI model for complex reasoning and multi-turn agent tasks, available via API. |
|---|---|
| Pricing | Unknown |
| Platform | API |
| API | Yes |
| Best for | building AI agents with complex reasoning, developing multi-step tool calling applications |
| Domain registered | 2023 |
Data updated Aug. 1, 2026
What does Trinity-Large-Thinking by Arcee do?
Trinity-Large-Thinking by Arcee is an open-weight frontier AI model designed for complex reasoning tasks and multi-turn agent capabilities. It specializes in handling long-horizon problems that require sustained reasoning across multiple steps, with built-in support for tool calling that allows the AI to interact with external systems and APIs. The model is released under the Apache 2.0 license, providing full transparency and accessibility to developers and researchers.
The model stands out through its use of online reinforcement learning, which enables continuous improvement after deployment. This means Trinity-Large-Thinking by Arcee can learn from new data and interactions without requiring full retraining. The architecture is optimized for cost efficiency, delivering frontier-level performance without the high costs typically associated with similar capabilities. It's available through the Arcee API and also accessible via OpenRouter.
This tool is particularly valuable for AI researchers exploring agentic systems, developers building complex AI applications that require multi-step reasoning, and open source builders working on advanced AI projects. Real-world applications include creating sophisticated AI assistants that can handle extended conversations with tool usage, research projects requiring transparent model access, and enterprise applications needing cost-effective frontier AI capabilities.
Key features
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