Trinity Large Thinking is Arcee's post-trained reasoning variant of the Trinity Large family, released in April 2026 and optimized for agentic workflows and autonomous agent systems. This roughly 398B-parameter sparse Mixture-of-Experts model activates around 13 billion parameters per token and supports a 256k context window, enabling complex multi-turn agent loops and reasoning chains across extended interactions. The model generates explicit reasoning traces wrapped in think blocks before producing its response, a design pattern that helps it maintain coherence in multi-step planning and long-horizon tasks. Built on the Trinity Large base with additional reinforcement learning, it scores 91.9 on PinchBench and 96.3 on AIME25, with strong tool calling and stable instruction following across long-running agent loops. Released as open weights under the Apache 2.0 license, Trinity Large Thinking differs from the Preview variant by prioritizing reasoning capability over general-purpose and creative output, making it suited to developer agents, autonomous task execution, and systems that need reliable agentic reasoning at scale.
Trinity Large Thinking runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance β full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| Arcee | US | Enterprise | No | $0.25 | $0.90 |
Training posture across routes: No training on prompts by default.
Each route hosting Trinity Large Thinking has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call Trinity Large Thinking through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into your coding agent β Claude Code, Cursor, Codex, and more β and it'll wire up Opper for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.OPPER_API_KEY,baseURL: "https://api.opper.ai/v3/compat",});const completion = await client.chat.completions.create({model: "arcee/trinity-large-thinking",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, EU hosting, pricing, and benchmarks.
