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    • © 2025 OpenRouter, Inc

    Arcee AI: Trinity Mini (free)Free variant

    arcee-ai/trinity-mini:free

    Created Dec 1, 2025131,072 context
    $0/M input tokens$0/M output tokens

    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.

    Providers for Trinity Mini (free)

    OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

    Performance for Trinity Mini (free)

    Compare different providers across OpenRouter

    Apps using Trinity Mini (free)

    Top public apps this month

    Recent activity on Trinity Mini (free)

    Total usage per day on OpenRouter

    Prompt
    9.98M
    Reasoning
    7.18M
    Completion
    290K

    Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

    Uptime stats for Trinity Mini (free)

    Uptime stats for Trinity Mini (free) across all providers

    Sample code and API for Trinity Mini (free)

    OpenRouter normalizes requests and responses across providers for you.

    OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

    In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

    Using third-party SDKs

    For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

    See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.