Using Trinity Mini on Vercel AI Gateway

Implementation guide · Trinity · Arcee AI

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Vercel AI Gateway exposes Trinity Mini through model ID arcee-ai/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
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-mini — see the documentation for request format.
3
You'll be billed $0.04/1M input, $0.15/1M 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-mini

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-mini",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.04
Output tokens	$0.15

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.

Full model details →

Model Specs

Released2025-12-01

Parameters26B

Context128k

ArchitectureMixture of Experts

Vercel