Using Trinity-Large-Preview on Vercel AI Gateway

Implementation guide · Trinity · Arcee AI

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Vercel AI Gateway 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
Create an account at Vercel AI Gateway and generate an API key.
2
Use the Vercel AI Gateway SDK or REST API to call arcee-ai/trinity-large-preview — see the documentation for request format.
3
You'll be billed $0.25/1M input, $1.00/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

AI_GATEWAY_API_KEY

Model ID

arcee-ai/trinity-large-preview

creator/model-name e.g. kwaipilot/kat-coder-pro-v2

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="arcee-ai/trinity-large-preview",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.25
Output tokens	$1.00

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

Vercel