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Arcee.ai
@arcee_ai
Today we're releasing Trinity-Large-Thinking.

Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0.

We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own.
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Arcee.ai
@arcee_ai
Preview showed us where the demand was going.

People were already running Trinity-Large-Preview in real agent workflows, with long-horizon tool use and production constraints. So over the last two months, we pushed our SFT and RL stack to meet that moment.
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Arcee.ai
@arcee_ai
Our focus was clear.

Build a model that stays coherent across turns, uses tools cleanly, follows instructions under constraint, and is efficient enough to serve at scale.

That is the bet behind Trinity-Large-Thinking.
Arcee.ai
@arcee_ai
The benchmark picture reflects that bet:
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Arcee.ai
@arcee_ai
More important than any one score, Trinity-Large-Thinking is a major step up from Preview in the places that matter most for agents:

better multi-turn tool use
better context coherence
cleaner instruction following
more stable long-running behavior
Arcee.ai
@arcee_ai
Read the launch blog for a more detailed breakdown:
arcee.ai/blog/trinity-l…
Arcee.ai
@arcee_ai
Huge credit to the team that built it, and to the partners and early users who put Preview into real systems and helped shape what came next.

Use it today via Arcee
chat.arcee.ai

OpenRouter
openrouter.ai/arcee-ai/trini…

> @openclaw is FREE through OpenRouter for the first 5 days!

or Hugging Face
huggingface.co/collections/ar…

We are building these models so you can own them.
Arcee.ai
@arcee_ai
Shoutout to @OpenRouter, @digitalocean, @huggingface, @datalogyai, and @PrimeIntellect.

Great models need great distribution, great data, and great infrastructure. We are grateful to be building with partners who understand that.
Arcee.ai
@arcee_ai
@OpenRouter @digitalocean @huggingface @PrimeIntellect @datologyai - apologies for the typo above!
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