Trinity Mini
VerifiedArcee-ai's compact LLM for efficient long-context text tasks.
About Trinity Mini
Trinity Mini is designed as a closed-source language model focused exclusively on text inputs and outputs. Arcee-ai developed it to deliver reliable performance without requiring users to manage infrastructure. Its architecture emphasizes handling extended sequences while remaining efficient for practical deployment.
The model's primary strength lies in its large context capacity, allowing it to process and reason over substantial amounts of text in a single pass. This capability supports coherent responses across lengthy documents or multi-turn interactions. As a non-open-weight offering, it provides managed access suited to production environments.
Typical usage includes document analysis, content creation, and conversational agents where maintaining context over long inputs is essential. Developers integrate it via APIs for tasks that benefit from high token limits without self-hosting requirements. It serves teams seeking a streamlined text LLM solution from Arcee-ai.
Capabilities
How Trinity Mini compares
Trinity Mini (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Trinity Mini ranks #5 of 66
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Analysis
Trinity Mini leverages its 131072-token context for in-depth reasoning across lengthy texts such as reports, transcripts, or codebases.
Real-Time Chat Applications
Strong instruction following and multi-turn conversation support enable reliable, efficient dialogue systems and virtual assistants.
Content Summarization Workflows
The model performs fast, accurate summarization and analysis on large inputs while preserving key details.
Strengths & limitations
Strengths
- +Optimized for speed and low resource use
- +Handles extended context windows
- +Suitable for on-device or edge deployment
- +Strong efficiency-to-performance balance
Limitations
- –Text-only modality
- –Reduced depth on complex or specialized tasks vs larger models
- –No native vision or multimodal support
Cost calculator
Estimate what Trinity Mini would cost for your usage.
Based on Trinity Mini's $0.04/1M input · $0.15/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "arcee-ai/trinity-mini",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: arcee-ai/trinity-mini
Editor's verdict
Trinity Mini is Arcee-ai's proprietary language models with a 131K-token context window.
At $0.15 per 1M output tokens, it is very cost-efficient for its class.
It is available through Arcee-ai's API and aggregators like OpenRouter.
Best suited to optimized for speed and low resource use and handles extended context windows.
Frequently asked questions
Trinity Mini supports a context window of 131072 tokens.
User reviews
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