Trinity Large Thinking

by Arcee

All Arcee releases

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.

Key info

Input
Output
Features
Context window
262K
Max output
8K
Input price
$0.25 /1M
Output price
$0.90 /1M
Released
  • US residency available
  • No training by default
  • no-KYC deposit available

Available routes

Trinity Large Thinking runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
USNot by defaultNo$0.25$0.90

Data handling per route

Each route hosting Trinity Large Thinking has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

Arcee β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is not on by default β€” abuse monitoring. No training on customer data. US; wallets; deposit available.

Zero data retention
Not by default β€” abuse monitoring. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
Abuse monitoring
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
wallets

Benchmarks

Independent benchmark scores β€” composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#299 of 630 LLMs
TierEfficient
Output speed326 tok/s
First token1.15s
Intelligence Index18.7
Coding Index25.8
Reasoning & knowledge
GPQA Diamond
75%
Humanity's Last Exam
16%
Long-context reasoning
38%
Coding
SciCode
36%
Agentic & tool use
Terminal-Bench Hard
23%
τ²-Bench Telecom
90%
Math & instruction following
IFBench
56%

Get started

Call Trinity Large Thinking through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β€” qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.

Or call it directly

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-thinking",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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Side-by-side on privacy, crypto rails, pricing, and benchmarks.

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