Meta: Muse Spark 1.1 API AI Agent

Build autonomous AI agents with Meta: Muse Spark 1.1. Supports function calling, tool use, and multi-step reasoning โ€” perfect for agentic workflows that need to make decisions and take actions.

33% cheaper than OpenRouter

Meta: Muse Spark 1.1 Pricing

Token TypeQubaxRetailSave
Input (per 1M)$0.844$1.2533%
Output (per 1M)$2.87$4.2532%

An AI agent workload (50K input + 5K output tokens, 100 tasks/day) costs approximately $169.60/month on Qubax.

Why use Meta: Muse Spark 1.1 for AI agents on Qubax?

  • ๐Ÿค–Autonomous agents that call APIs and external tools
  • ๐Ÿค–Multi-step reasoning for complex task completion
  • ๐Ÿค–Agent orchestration with LangChain, CrewAI, or custom frameworks
  • ๐Ÿค–Function calling for structured, reliable agent responses

About Meta: Muse Spark 1.1

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context... 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.

1.0M context window944K max output tokensReasoning with selectable effort levels (low/medium/high)Vision / image inputFunction & tool callingJSON schema responsesPDF inputWeb search

Meta: Muse Spark 1.1 AI Agent โ€” code example

Python โ€” tool-calling agent looppython
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-1.1",
    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"}

More Meta models on Qubax

Get started in 60 seconds

  1. 1Create a free account at qubax.ai/register
  2. 2Add crypto credits (200+ coins, $3 minimum, credits never expire)
  3. 3Generate an API key and set your base URL to https://api.qubax.ai/v1
  4. 4Use model ID muse-spark-1.1 โ€” done!

Meta: Muse Spark 1.1 AI Agent FAQ

How much does Meta: Muse Spark 1.1 cost for AI agents?

On Qubax, Meta: Muse Spark 1.1 costs $0.844 per 1M input tokens and $2.87 per 1M output tokens. 33% cheaper than OpenRouter. Pay with 200+ cryptocurrencies.

Can I use Meta: Muse Spark 1.1 with my existing tools?

Yes. Qubax is fully OpenAI-compatible. Change your base URL to api.qubax.ai/v1 and use your Qubax key. Works with Cline, Cursor, OpenCode, LangChain, and any OpenAI SDK.

Do I need a credit card?

No. Qubax accepts 200+ cryptocurrencies. No credit card, no KYC.

Start using Meta: Muse Spark 1.1 for AI agents

No credit card. Crypto accepted. Credits never expire.

Get started โ†’
Meta: Muse Spark 1.1 API for AI Agent โ€” 33% off ยท Qubax AI