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.
Modalities
Input Price
$0.045per 1M
Output Price
$0.15per 1M
Context
131K
Weekly Tokens
764M
Released
Dec 1, 2025
Create an API key from your OpenRouter dashboard and set it as an environment variable:
Use arcee-ai/trinity-mini with the OpenRouter API:
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.
For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.
Add "stream": true to your request body to receive responses as server-sent events:
https://openrouter.ai/api/v1/chat/completionsBearer $OPENROUTER_API_KEYapplication/jsonoptional — your site URL, for rankingsoptional — your site name, for rankingsarcee-ai/trinity-mini| Name | Type | Default | Description |
|---|---|---|---|
reasoning | map | — | Controls reasoning behavior for models that support thinking tokens, including whether reasoning is enabled, the reasoning effort, maximum reasoning tokens, and whether reasoning is excluded from the response. |
include_reasoning | boolean | — | Deprecated alias for reasoning.exclude. |
temperature | float | 1 | This setting influences the variety in the model's responses. |
max_tokens | integer | — | This sets the upper limit for the number of tokens the model can generate in response. |
top_p | float | 1 | This setting limits the model's choices to a percentage of likely tokens: only the top tokens whose probabilities add up to P. |
tool_choice | string or object | — | Controls which (if any) tool is called by the model. |
tools | array | — | Tool calling parameter, following OpenAI's tool calling request shape. |
response_format | map | — | Forces the model to produce specific output format. |
structured_outputs | boolean | — | If the model can return structured outputs using response_format json_schema. |
stop | array | — | Stop generation immediately if the model encounter any token specified in the stop array. |
max_completion_tokens | integer | — | This sets the upper limit for the number of tokens the model can generate in response. |