Arcee Ai: Trinity Mini

Reasoning-tuned 26B MoE model with 3B active parameters for agents, tools, and multi-step workloads

Model lab: Arcee Ai
Model family: trinity

Model resources

Model card Announcement License Hugging Face

Modalitiestext → text

Context window131,072

Maximum output131,072

InputUSD 0.036 / 1M tokens

OutputUSD 0.12 / 1M tokens

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Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to arcee-ai/trinity-mini.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "arcee-ai/trinity-mini"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Trinity Mini API Pricing

Type	Price information
Input	USD 0.036 / 1M tokens
Output	USD 0.12 / 1M tokens

Performance

Performance trends

Throughput90.6 tok/sCurrent

Time to first token1.3 sCurrent

End-to-end latency8.0 sCurrent

Throughput

Current90.6 tok/s

Window average89.2 tok/s

Time to first token

Current1.3 s

Window average1.5 s

End-to-end latency

Current8.0 s

Window average7.5 s

Tail latency (P99)

Current16.7 s

Window average17.0 s

Prompt cache hit rate

Current19.2%

Window average23.0%

Error rate

Current0.0%

Window average0.2%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Trinity Mini Compare models

Model	Input price	Output price	Context window	Capabilities
Trinity MiniThis page	USD 0.036 / 1M tokens	USD 0.12 / 1M tokens	131,072	Text output · Reasoning · Tool calling
Trinity Large Thinking	USD 0.2 / 1M tokens · Context ≤ 262144 tokens · Maximum output 262144 tokens	USD 0.64 / 1M tokens · Context ≤ 262144 tokens · Maximum output 262144 tokens	524,288	Text output · Reasoning · Tool calling
Trinity Nano Preview	Price currently unavailable	Price currently unavailable	131,072	Text output · Tool calling
Beam 1.0 501B A23B	USD 0.2 / 1M tokens	USD 0.8 / 1M tokens	1,048,576	Text output · Reasoning · Tool calling
Ling 3.1 Flash	USD 0.06 / 1M tokens	USD 0.176 / 1M tokens	262,144	Text output · Reasoning · Tool calling

Model specifications

Input: text
Output: text
Context window: 131,072
Maximum output: 131,072
Release date: 2025-12-01
Attachments: No
Reasoning: Yes
Tool calling: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Trinity Mini for?

Reasoning-tuned 26B MoE model with 3B active parameters for agents, tools, and multi-step workloads

What inputs and outputs does Trinity Mini support?

Recorded inputs: text; outputs: text.

How is Trinity Mini priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.036 / 1M tokens; Output USD 0.12 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Trinity Mini?

Current model records list Context window 131,072 tokens; Maximum output 131,072 tokens.

What model parameter does the Quickstart use?

The example uses arcee-ai/trinity-mini. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.