References 488% CONFIDENCEOverall confidence: 88%How well the pin's source and references back up its dates.Weighted average of how firmly 4 references, the source included, support the pin's start and end times; a reference counts half as much for every 180 days older than the newestShow all pins at 75% confidence or better

The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.

• [1]90%
  arcee.ai/blog/trinity-large

  arcee.ai· Posted Oct 12, 2026· Starts Jan 27, 2026 ✓· 45% of score

  Arcee's^[2] post "Trinity Large: An Open 400B Sparse MoE Model" is dated Jan 27, 2026 and says "We're putting out three variants"; the Trinity-Large-TrueBase, Base and Preview repositories on Hugging Face^[4] were all created that day.

• [2]85%
  Trinity-Large-Thinking: Scaling an Open Source Frontier Agent - Arcee AI

  arcee.ai· Published Apr 1, 2026· 21% of score

  Arcee's^[1] April follow-up: Preview was a light instruct post-train, crossed 3.37 trillion tokens served on OpenRouter in two months, and was succeeded by the reasoning Trinity-Large-Thinking.

• [3]85%
  Arcee Trinity Large Technical Report - arXiv

  arxiv.org· Published Feb 19, 2026· 18% of score

  The technical report submitted 19 February 2026: 400B total and 13B active parameters, 17T tokens, SMEBU expert load balancing, Muon optimizer, no loss spikes, plus the Trinity Mini (26B, 3B active) and Nano (6B, 1B active) models.^[1]

• [4]90%
  arcee-ai/Trinity-Large-Preview - Hugging Face

  huggingface.co· Published Jan 27, 2026· 16% of score

  Model card: about 398B total and 13B active, 256 experts with 4 active, 6 dense layers, 17T pretraining tokens on 2,048 B300 GPUs, 20B tokens of instruction tuning, and MMLU 87.2 and AIME 2025 24.0 against Llama 4 Maverick's 85.5 and 19.3.^[1]

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