Trinity Large Preview is Arcee's 400B-parameter sparse Mixture-of-Experts model released in January 2026, featuring 13 billion active parameters per token and a 256-expert architecture with 4 experts active per token. It serves a 128k context window and was trained on 17 trillion tokens curated across programming, STEM, reasoning, and multilingual data. This preview variant is positioned for creative writing, storytelling, role-play, chat, and real-time voice scenarios, alongside multi-step agent workflows. Arcee trained it to navigate agent harnesses and to handle complex toolchains and long, constraint-filled prompts, making it well suited to conversational and tool-augmented applications. Trinity Large Preview is released as open weights under the Apache 2.0 license. It is the instruct-tuned sibling of Trinity Large Thinking, leaning toward production-grade conversational and creative output rather than explicit step-by-step reasoning traces.
Trinity Large Preview runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| US | Not by default | No | $0.25 | $1.00 |
Each route hosting Trinity Large Preview has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is not on by default — abuse monitoring. No training on customer data. US; wallets; deposit available.
Call Trinity Large Preview through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "arcee/trinity-large-preview",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, crypto rails, pricing, and benchmarks.
