LLM Reference
OpenRouter

Using Trinity-Large-Preview on OpenRouter

Implementation guide · Trinity · Arcee AI

ServerlessOpen Source

OpenRouter exposes Trinity-Large-Preview through model ID arcee-ai/trinity-large-preview. 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-preview — see the documentation for request format.
  3. 3
    You'll be billed $0.15/1M input, $0.45/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.15
Output tokens$0.45

Capabilities

JSON / Tool useStructured Outputs

About Trinity-Large-Preview

400B sparse MoE instruct model with 13B active parameters per token, served at 128K context via 8-bit quantized API. Trained on 20T tokens. Production-ready for agentic and tool-use applications; predecessor to Trinity-Large-Thinking. Available free on OpenRouter.

Full model details →

Model Specs

Released2026-01-27
Parameters400B
Context128k
ArchitectureMixture of Experts

More Models on OpenRouter

Trinity-Large-ThinkingTrinity Mini
All models on OpenRouter →

Also available on(2)

Vercel AI Gateway$0.25/1MArcee AI
Compare all providers →

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA