LLM Reference
Arcee AI

Using Trinity Mini on Arcee AI

Implementation guide · Trinity · Arcee AI

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Arcee AI exposes Trinity Mini through model ID trinity-mini. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-29. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Arcee AI and generate an API key.
  2. 2
    Use the Arcee AI SDK or REST API to call trinity-mini.

Code Examples

Code examples for this provider have not been sourced yet.

Pricing on Arcee AI

Capabilities

JSON / Tool useStructured Outputs

About Trinity Mini

26B sparse MoE with 3B active parameters per token and 128K context window. Trained on 10T tokens. Fully post-trained for reasoning and instruction following, suitable for cloud or on-premises deployment. Available via Arcee AI API and OpenRouter.

Model Specs

Released2025-12-01
Parameters26B
Context128k
ArchitectureMixture of Experts

Provider

Arcee AI
Arcee AI