Arcee AI: Trinity Large Thinking

arcee-ai/trinity-large-thinking

Released Apr 1, 2026262,144 context

$0.25/M input tokens$0.90/M output tokens

Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. It is free in open claw for the first five days. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7

Providers for Trinity Large Thinking

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 Large Thinking

Compare different providers across OpenRouter

Effective Pricing for Trinity Large Thinking

Actual cost per million tokens across providers over the past hour

Apps using Trinity Large Thinking

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Recent activity on Trinity Large Thinking

Total usage per day on OpenRouter

Prompt

291M

Reasoning

4.2M

Completion

3.73M

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

Uptime stats for Trinity Large Thinking

Uptime stats for Trinity Large Thinking across all providers

Sample code and API for Trinity Large Thinking

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.