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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.

Arcee.ai

15,607 subscribers

727,389 次观看 • 5 个月前 •via X (Twitter)

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42 条评论

Arcee.ai 的头像

Arcee.ai5 个月前

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.

Arcee.ai 的头像

Arcee.ai5 个月前

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 的头像

Arcee.ai5 个月前

The benchmark picture reflects that bet:

Arcee.ai 的头像

Arcee.ai5 个月前

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 的头像

Arcee.ai5 个月前

Read the launch blog for a more detailed breakdown:

Arcee.ai 的头像

Arcee.ai5 个月前

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.

Arcee.ai 的头像

Arcee.ai5 个月前

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 的头像

Arcee.ai5 个月前

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

Florian Brand5 个月前

Congrats!! also, banger joke

Maziyar PANAHI 的头像

Maziyar PANAHI5 个月前

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

Maziyar PANAHI 的头像

Maziyar PANAHI5 个月前

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! 😭

John Schulman 的头像

John Schulman5 个月前

congrats on the great release!

Sara Hooker 的头像

Sara Hooker5 个月前

Congrats to the Arcee team! 🔥

Petri Kuittinen 的头像

Petri Kuittinen5 个月前

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!

DigitalOcean 的头像

DigitalOcean5 个月前

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

Kilo (acq. by Anaconda) 的头像

Kilo (acq. by Anaconda)5 个月前

Stunning new model. Congrats @arcee_ai team!

Emad 的头像

Emad5 个月前

Congrats!

Joseph Floyd 的头像

Joseph Floyd5 个月前

Congrats squad! Thrilled this is out in the world!

Bojan Jakimovski 的头像

Bojan Jakimovski5 个月前

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

Elaina 的头像

Elaina5 个月前

Another major open model! Congratulations!

Yazan El-Baba 的头像

Yazan El-Baba5 个月前

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

Julian Pscheid 的头像

Julian Pscheid5 个月前

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

MJ - AI Guy 的头像

MJ - AI Guy5 个月前

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!

No try = no fail (Sean Stromsten) 的头像

No try = no fail (Sean Stromsten)5 个月前

This also looks like fun:

Oleksii Kuchaiev 的头像

Oleksii Kuchaiev5 个月前

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

Sauers 的头像

Sauers5 个月前

okay

orkward ☄︎ 的头像

orkward ☄︎5 个月前

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

Huepow ↭ ⟠ ⟁∞ 的头像

Huepow ↭ ⟠ ⟁∞5 个月前

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

Hendrix.btc ⭕🔶 的头像

Hendrix.btc ⭕🔶5 个月前

damn i love the bg sound

Charles Foster 的头像

Charles Foster5 个月前

Nice!

dan 的头像

dan5 个月前

LFG!!!

He-Man, Principal MLE 的头像

He-Man, Principal MLE5 个月前

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

岡田泰彦｜光邦｜AI×印刷エヴァンジェリスト的头像

岡田泰彦｜光邦｜AI×印刷エヴァンジェリスト5 个月前

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。

Ross Taylor 的头像

Ross Taylor5 个月前

Congrats to all involved - very impressive!

Mariusz Kurman 的头像

Mariusz Kurman5 个月前

Congratulations 🫶🏻

𝕱𝖚𝖑𝖑 𝕶𝖊𝖑𝖑𝖞 的头像

𝕱𝖚𝖑𝖑 𝕶𝖊𝖑𝖑𝖞5 个月前

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

WildPinesAI 的头像

WildPinesAI5 个月前

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

Prof Celso Fontes 的头像

Prof Celso Fontes5 个月前

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

Martin S. 的头像

Martin S.5 个月前

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

LenaRc !🐀 的头像

LenaRc !🐀5 个月前

So fucking cool congrats on the release

sam laki 的头像

sam laki5 个月前

lfg

Morgan 的头像

Morgan5 个月前

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

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