The open-source landscape has just shifted. US-based lab @Arcee has released Trinity-Large-Thinking, a cutting edge open model with SOTA capabilities, "built for developers that want models they can inspect, post-train, host, distill, and own."
The model scores #2 on PinchBench by @KiloClaw, just behind Opus-4.6, while landing at $0.90 per million output tokens, roughly 96% cheaper.
The new OSS heavyweight?
About Trinity-Large-Thinking by Arcee on Product Hunt
“The first open model as performant as Opus 4.6, 96% cheaper”
Trinity-Large-Thinking by Arcee launched on Product Hunt on April 3rd, 2026 and earned 77 upvotes and 2 comments, placing #24 on the daily leaderboard. Arcee AI is an American open-intelligence lab focused on accelerating the competitive landscape for open-weight models in the United States.
On the analytics side, Trinity-Large-Thinking by Arcee competes within Open Source and Artificial Intelligence — topics that collectively have 534.8k followers on Product Hunt. The dashboard above tracks how Trinity-Large-Thinking by Arcee performed against the three products that launched closest to it on the same day.
Who hunted Trinity-Large-Thinking by Arcee?
Trinity-Large-Thinking by Arcee was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Trinity-Large-Thinking by Arcee including community comment highlights and product details, visit the product overview.
fmerian
The open-source landscape has just shifted. US-based lab @Arcee has released Trinity-Large-Thinking, a cutting edge open model with SOTA capabilities, "built for developers that want models they can inspect, post-train, host, distill, and own."
The model scores #2 on PinchBench by @KiloClaw, just behind Opus-4.6, while landing at $0.90 per million output tokens, roughly 96% cheaper.
The new OSS heavyweight?