Arcee AI: Trinity Mini

Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function calling and multi-step agent workflows.

• Context window: 131,072 tokens
• Input: text
• Output: text
• Pricing: $0.045/M input tokens, $0.15/M output tokens

View on OpenRouter. Model data sourced from OpenRouter.