Meta: Muse Spark 1.3 Contributor API AI Agent

Meta: Muse Spark 1.3 Contributor Pricing

An AI agent workload (50K input + 5K output tokens, 100 tasks/day) costs approximately $10.80/month on Qubax.

Why use Meta: Muse Spark 1.3 Contributor 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 Meta: Muse Spark 1.3 Contributor

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information... It supports a 1.0M-token context window and up to 944K output tokens per request. Native capabilities include reasoning, vision, tool calling, structured output, streaming. On Qubax it is served by 2 independent sellers, so pricing stays competitive and uptime stays high.

Meta: Muse Spark 1.3 Contributor 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="muse-spark-1.3-contributor",
    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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Meta: Muse Spark 1.3 Contributor AI Agent FAQ