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.

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.

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.

The benchmark picture reflects that bet:

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

Read the launch blog for a more detailed breakdown:

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 OpenRouter > @openclaw is FREE through OpenRouter for the first 5 days! or Hugging Face We are building these models so you can own them.

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.

@digitalocean @huggingface @PrimeIntellect @datologyai - apologies for the typo above!

Congrats!! also, banger joke

those prices are insanely cheap for a model this size! 👏 claw people are going to be very happy!

96.3 on AIME25. Beating Opus-4.6 on math. Open weights. This is a genuinely significant release. Congratulations to the entire Arcee team. PS: Anthropic is not having a good week! 😭

congrats on the great release!

Congrats to the Arcee team! 🔥

Trinity-Large-Thinking from Arcee: Apache 2.0 license, a 400B-parameter sparse Mixture-of-Experts with 13B active parameters. 128k/256k context window, 80k max output tokens. Very cheap API pricing: $0.25/M input tokens and $0.90/M output tokens. Text-only. I need to test this!

Great models deserve great infrastructure. Trinity Large-Thinking is now live in Public Preview on #DigitalOcean. 🌊

Stunning new model. Congrats @arcee_ai team!

Congrats!

Congrats squad! Thrilled this is out in the world!

Wow, this is big !!! Congrats @arcee_ai ♥️

Another major open model! Congratulations!

Congrats to the team! This is awesome! So glad this isn’t an April Fool’s joke :)

Amazing, great work team! Can't wait to try this out in agentic flows. Tagging @togethercompute to add this!

The US needs this. I work with agencies who need elite, trustable (read not Chinese) custom models to run in their higher impact level environments. Awesome work!

This also looks like fun:

Congratulations on a great model! Always good to see more open models.

okay

apache 2.0 and open weights is the dream. trinity-large is a massive win for devs.

is their highest model on api, DENSE or loppy MoE? @grok

damn i love the bg sound

Nice!

LFG!!!

Good, I was getting tired of having to go China for a decent model

This feels like a big shift toward more practical and controllable AI deployment—especially for enterprises. より実用的でコントロール可能なAI活用への大きな一歩に感じます。特に企業にとっては重要ですね。

Congrats to all involved - very impressive!

Congratulations 🫶🏻

We're AMERICA and we're gonna with the open source AI race too gawdammit 🫡

@Scobleizer open reasoning models tuned for agentic tool calling is the gap most labs aren't touching. small team, big swing

please @arcee_ai consider include this dataset in your next model:

free for 5 days is a no-brainer to test openclaw against other agents tbh. ive been running it on openrouter and the throughput is nats

So fucking cool congrats on the release

lfg

So awesome - can’t wait to play around with it! 🚀