How does Trinity Large Thinking rank among AI models?
Trinity Large Thinking holds ModelCap Index position #149 of 352 ranked language models as of 6 November 2026, with an Index score of 44.2 (interval 39.2–49.2); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
What is the context window of Trinity Large Thinking?
Trinity Large Thinking has a published context window of 262K tokens (262,144). The snapshot lists a 80,000 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
Is Trinity Large Thinking open-weight?
Restricted license (openmdw-1.1). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is arcee-ai/Trinity-Large-Thinking on Hugging Face.
Which benchmarks has Trinity Large Thinking been evaluated on?
Trinity Large Thinking has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1367 (#202 of 419) and Arena coding 1413 (#204 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.