Trinity Large (Preview) is a 400B-parameter (13B active) sparse mixture-of-experts language model, engineered to scale model capacity while maintaining inference efficiency over long contexts. It delivers strong performance in reasoning-heavy workloads including math, coding-related tasks, and multi-step agent workflows. With a 131K context window and native function calling, it excels at complex tasks requiring deep understanding and structured outputs.
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131,000 tokens
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Open-weight model; superseded by Virtuoso Large