LLM Reference
OpenRouter

Using Trinity-Large-Thinking on OpenRouter

Implementation guide · Trinity · Arcee AI

ServerlessOpen Source

OpenRouter exposes Trinity-Large-Thinking through model ID arcee-ai/trinity-large-thinking. 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 OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call arcee-ai/trinity-large-thinking — see the documentation for request format.
  3. 3
    You'll be billed $0.22/1M input, $0.85/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.22
Output tokens$0.85

Capabilities

ReasoningJSON / Tool useStructured Outputs

About Trinity-Large-Thinking

Arcee AI's flagship 400B sparse MoE reasoning model with 13B active parameters per token. Trained on 20T tokens with a STEM-focused curriculum. Designed for agentic workflows, chain-of-thought reasoning, and long-context tasks up to 256K tokens (BF16 API). Open-source under Apache 2.0. Available via Arcee AI API.

Model Specs

Released2026-04-01
Parameters400B
Context256k
ArchitectureMixture of Experts

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA