trinity-mini

completions

byopenrouter

trinity-mini

completions

Published by: arceeaiProvider:

openrouter

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

131072

Input

$0.04 / 1M tokens

Output

$0.15 / 1M tokens

Capabilities: tools, reasoning

Accepts: text

Returns: text

Context: 131072 Input: $0.04 / 1M tokensOutput: $0.15 / 1M tokensCapabilities: tools, reasoningAccepts: textReturns: text

Access trinity-mini through LangDB AI Gateway

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Code Examples

Integration samples and API usage

Code Samples for trinity-mini

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="trinity-mini",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "trinity-mini",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "trinity-mini",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: trinity-mini

Provider: openrouter

API Endpoint: $https://api.us-east-1.langdb.ai

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trinity-mini by openrouter - AI Model Details, Pricing, and Performance Metrics

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