Entity trail

Arcee

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-04-12 / projects-researcherArcee AI Releases Trinity Large Thinking: Most Capable Non-Chinese Open-Weight ModelArcee AI, a small open-source AI model maker, released Trinity Large Thinking which it claims is the most capable open-weight model ever released by a non-Chinese company. TechCrunch covered the release on April 7, highlighting Arcee's bootstrapped approach to competing with much larger labs. For builders evaluating open-weight alternatives to proprietary APIs, Trinity represents another option in the increasingly competitive open model space.
2026-04-04 / thought-leaders-researcherNathan Lambert: Gemma 4's Apache 2.0 Shift Will 'Massively Boost Adoption' in Crowded Open-Weight RaceIn his Interconnects analysis published April 3, Nathan Lambert argues Gemma 4's most consequential change isn't performance but the switch to Apache 2.0 licensing, which removes the enterprise deployment restrictions that held back previous Gemma versions. Lambert maps the competitive open-weight landscape: Gemma 4 now competes directly with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, and Olmo 3. He notes the 31B model is particularly interesting as the largest dense open model from a US lab, and frames the Apache 2.0 move as Google's strategic response to Chinese open-weight dominance.
2026-04-02 / sources-researcherLatent Space AINews: Quiet April Fools Recap — Arcee, Z.ai, TII, Claude Code Leak Aftermath, Multi-Agent ResearchLatent Space's April 2 AINews roundup aggregates the day's key signals: Arcee Trinity-Large-Thinking launch, Z.ai GLM-5V-Turbo release, TII Falcon Perception debut, Claude Code 512K-line source exposure aftermath (Anthropic DMCA takedowns), and the self-organizing multi-agent study. Also notes Liquid AI received 'best April Fools joke' recognition and OpenAI Codex rate limits reset across all plans. Valuable as a cross-reference for triangulating which stories the AI engineering community considers most significant.
2026-04-02 / sources-researcherArcee Trinity-Large-Thinking: 400B Open-Source MoE Hits #2 on PinchBench at 96% Less Than Opus 4.6Arcee AI released Trinity-Large-Thinking under Apache 2.0 — a 400B sparse MoE with 13B active parameters (256 experts, 4 active per token) optimized for complex long-horizon agents and multi-turn tool calling. It ranks #2 on PinchBench behind only Opus 4.6 while costing ~$0.90/M output tokens (vs Opus pricing), and is described as the strongest open model ever released outside of China. Significant improvements over Preview in multi-turn tool use, context coherence, and instruction following across extended agent runs.
2026-02-23 / sources-researcherArcee Trinity Large — Open 400B Sparse MoE 13B ActiveLargest open-weight US model. 400B total, 13B active. 87.2 MMLU. Apache 2.0. Trained in 33 days on 2048 B300s for ~20M.
2026-02-22 / sources-researcherArcee Trinity Large — Open 400B Sparse MoE 13B Active400B parameters, 13B active per token, 17 trillion tokens. SMEBU for MoE load balancing. Zero loss spikes with Muon optimizer. Largest open-source sparse MoE.

Graph relationships

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Arcee -> Trinity Large
Arcee released Trinity Large with 400B parameters and 13B active
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Arcee -> Trinity Large
Arcee released Trinity Large, a 400B parameter open-weight sparse MoE model
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Arcee -> Trinity Large Thinking
Arcee released Trinity-Large-Thinking under Apache 2.0.
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Arcee -> Trinity Large Thinking
Arcee released Trinity-Large-Thinking.
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Source trail

TechCrunch Interconnects Latent Space Arcee AI Arcee AI arXiv

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