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Meta: Muse Spark 1.1 API

Meta

33% cheaper than OpenRouter

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...

About Meta: Muse Spark 1.1

Meta: Muse Spark 1.1 is a large language model developed by Meta. It's particularly well-suited for analyzing images, screenshots, and visual content, tackling complex, multi-step reasoning problems, orchestrating tool-using agents that call APIs and external services, grounding responses in real-time web search results, producing structured outputs for reliable data extraction, and handling large contexts of up to 1.0M tokens. Its 1.0M-token context window means you can pass in entire documents, codebases, or conversation histories without losing context. Developers choose Meta: Muse Spark 1.1 when they need reliable, production-quality AI inference through a simple API — and on Qubax, it's available at a fraction of the cost of traditional providers.

In the broader AI landscape, Meta: Muse Spark 1.1 sits among the frontier-tier offerings from Meta With advanced reasoning and multimodal vision and agentic tool use, it competes with the most frontier-tier models on the market. What sets it apart on Qubax isn't just the model itself — it's the accessibility. Rather than dealing with enterprise contracts or traditional payment rails, you get instant access via an OpenAI-compatible endpoint. That means you can drop Meta: Muse Spark 1.1 into Cursor, Cline, LangChain, or any framework that speaks the OpenAI protocol and start building immediately.

Qubax offers Meta: Muse Spark 1.1 at 33% below OpenRouter's price — just $0.844 per million input tokens and $2.87 per million output tokens. That pricing advantage compounds quickly at scale: a high-volume application sending millions of tokens per day can save significantly compared to using OpenRouter or the provider directly. And because Qubax runs on crypto-native infrastructure, you can pay with USDC, USDT, ETH, BTC, or 200+ other cryptocurrencies — no credit card or bank account required.

Pricing

Token TypeQubaxOpenRouterYou Save
Input (per 1M tokens)$0.844$1.2533%
Output (per 1M tokens)$2.87$4.2532%

Prices per 1 million tokens. Pay with 200+ cryptocurrencies.

Price History (60 Days)

Sep 9 Sep 13

This model's price over the last 60 days. Compare against all top AI models →

Estimated Monthly Cost

AI Chatbot
$93.66/mo
$138.75 on OpenRouter
Coding Copilot
$187.32/mo
$277.50 on OpenRouter
AI Agent
$169.60/mo
$251.25 on OpenRouter

Specifications

Context Window
1.0M
Max Output
944K
Provider
Meta
Modality
MULTIMODAL

Use Cases

Visual Analysis
Analyze images, screenshots, diagrams, and visual content
Complex Reasoning
Multi-step problem solving, math, and logical analysis
Function Calling
Build agents and tool-using applications
Long Documents
Process entire codebases, books, or lengthy conversations
Chat & Conversation
Build AI chatbots and conversational assistants
Content Generation
Write articles, code, emails, and more

Capabilities

Vision Reasoning reasoning Configurable Tool Use File Upload pdf Streaming Structured Output json Schema Web Search

Quick Start

Python
from openai import OpenAI

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

response = client.chat.completions.create(
    model="muse-spark-1.1",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.qubax.ai/v1",
  apiKey: "qbx_live_YOUR_API_KEY",
});

const response = await client.chat.completions.create({
  model: "muse-spark-1.1",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(response.choices[0].message.content);
cURL
curl https://api.qubax.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer qbx_live_YOUR_API_KEY" \
  -d '{
    "model": "muse-spark-1.1",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Get your API key from the dashboard.

Why use Meta: Muse Spark 1.1 on Qubax?

33% Cheaper

Up to 33% off OpenRouter prices

Pay with Crypto

200+ coins (BTC, ETH, SOL, USDT, USDC & more). No credit card needed.

OpenAI Compatible

Drop-in replacement. Works with Cline, Cursor, any tool.

Get started →

More from Meta

Compare Meta: Muse Spark 1.1 with alternatives

ModelProviderInput / 1MOutput / 1Mvs Meta: Muse Spark 1.1
Meta: Muse Spark 1.1Meta$0.844$2.87
Claude Opus 5Anthropic$1.01$4.05More expensive
Kimi K3Moonshot AI$0.673$2.69 Cheaper
Sakana: Fugu MaxOther$0.750$2.25 Cheaper
GPT-5.2 CodexOpenAI$0.499$3.99 Cheaper

Frequently Asked Questions

How much does the Meta: Muse Spark 1.1 API cost?

On Qubax, Meta: Muse Spark 1.1 costs $0.844 per 1M input tokens and $2.87 per 1M output tokens. This is 33% cheaper than OpenRouter's price of $1.25 per 1M input tokens.

Is the Meta: Muse Spark 1.1 API compatible with OpenAI?

Yes. Qubax provides an OpenAI-compatible API. You can use Meta: Muse Spark 1.1 as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.

Why is Meta: Muse Spark 1.1 cheaper on Qubax than OpenRouter?

Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 33% cheaper than OpenRouter's price for Meta: Muse Spark 1.1.

How do I pay for Meta: Muse Spark 1.1 API usage?

Qubax uses prepaid crypto credits. Deposit USDC on the Base chain and your balance is automatically deducted as you use the API. No credit card required. Top up from $3.

What is the context window of Meta: Muse Spark 1.1?

Meta: Muse Spark 1.1 supports a context window of 1.0M tokens, allowing you to process large documents, codebases, or long conversations in a single request.

What can I build with Meta: Muse Spark 1.1?

Meta: Muse Spark 1.1 is versatile enough for a wide range of applications. You can use it to analyze images and visual content, tackle complex multi-step reasoning tasks, build autonomous agents that call external tools and APIs, answer questions with real-time web search, generate structured JSON output for data pipelines, process long documents and entire codebases, and more. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.

How fast is Meta: Muse Spark 1.1 on Qubax?

Meta: Muse Spark 1.1 on Qubax supports streaming responses, so tokens begin arriving in real time as they're generated. Latency depends on the provider and prompt complexity, but most requests start streaming within 200–800 milliseconds. Qubax routes requests through an intelligent routing layer, which selects the fastest available compute provider for each request — so you get competitive latency at a lower price.

Meta: Muse Spark 1.1 vs Claude Opus 5: which should I choose?

Meta: Muse Spark 1.1 by Meta and Claude Opus 5 by Anthropic are both strong models in a similar price tier. Meta: Muse Spark 1.1 excels at complex reasoning and supports vision/image inputs. Claude Opus 5 comes from a different lab and may have different strengths depending on your workload. On Qubax, Meta: Muse Spark 1.1 starts at $0.844/1M input tokens versus Claude Opus 5's $1.01/1M — making Meta: Muse Spark 1.1 the more cost-effective option for high-volume workloads. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.

Can I use Meta: Muse Spark 1.1 for commercial projects?

Yes. Meta: Muse Spark 1.1 on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.

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