Arcee AI: Trinity Large Thinking
arcee-ai/trinity-large-thinking
Access Trinity Large Thinking from Arcee AI using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "arcee-ai/trinity-large-thinking"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "arcee-ai/trinity-large-thinking"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="arcee-ai/trinity-large-thinking",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "arcee-ai/trinity-large-thinking",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Trinity Large Thinking is a 398-billion-parameter sparse Mixture-of-Experts reasoning model from Arcee AI, with approximately 13B active parameters per token, post-trained with extended chain-of-thought and agentic reinforcement learning.
It generates explicit reasoning traces in thinking blocks before final responses, and its 262K context window accommodates long agentic reasoning chains. Benchmark results include 94.7% on τ²-Bench and 98.2% on LiveCodeBench, placing it at #2 on PinchBench behind only Claude Opus 4.6.
Released under Apache 2.0, Trinity Large Thinking is the strongest option in the Trinity family for agentic pipelines, long-horizon planning, complex multi-step coding, and tasks that benefit from transparent reasoning traces.
Context Window 262K
tokens
Max Output 80K
tokens
Input Cost $0.25
per million tokens
Output Cost $0.9
per million tokens
Release Date Apr 1, 2026
Model Playground
Try Trinity Large Thinking instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Arcee AI
Frequently Asked Questions
You can access Trinity Large Thinking by Arcee AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Trinity Large Thinking to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.25 |
| Output | $0.9 |
Trinity Large Thinking was created by Arcee AI and released on Apr 1, 2026.
Trinity Large Thinking supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
Trinity Large Thinking can generate up to 80K tokens in a single response.
Yes — the Trinity Large Thinking API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Trinity Large Thinking to your app without worrying about API keys or setup.
Read the Docs View Tutorials