Trinity Large Thinking API AI Agent

Trinity Large Thinking Pricing

An AI agent workload (50K input + 5K output tokens, 100 tasks/day) costs approximately $55.53/month on Qubax.

Why use Trinity Large Thinking for AI agents on Qubax?

• 🤖Autonomous agents that call APIs and external tools
• 🤖Multi-step reasoning for complex task completion
• 🤖Agent orchestration with LangChain, CrewAI, or custom frameworks
• 🤖Function calling for structured, reliable agent responses

About Trinity Large Thinking

Trinity Large Thinking — Arcee reasoning-optimized sparse MoE model with extended chain-of-thought and 256K context. It supports a 256K-token context window and up to 33K output tokens per request. Native capabilities include reasoning, tool calling, structured output, streaming. On Qubax it is served by 90 independent sellers, so pricing stays competitive and uptime stays high.

Trinity Large Thinking AI Agent — code example

from openai import OpenAI
import json

client = OpenAI(
    base_url="https://api.qubax.ai/v1",
    api_key="qbx_live_YOUR_KEY",
)

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "parameters": {"type": "object", "properties": {"city": {"type": "string"}}},
    },
}]

resp = client.chat.completions.create(
    model="trinity-large-thinking",
    messages=[{"role": "user", "content": "What's the weather in Tokyo?"}],
    tools=tools,
)
call = resp.choices[0].message.tool_calls[0]
print(json.loads(call.function.arguments))  # -> {"city": "Tokyo"}

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Trinity Large Thinking AI Agent FAQ