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Meta: Muse Spark 1.3 API

Meta·Vision

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

1.0M Context 943.7K out
Input
Text Image File Audio Video
Output
Text

Pricing

Cheapest live price, per 1 million tokens.

Input / 1M tokens

$0.28177% off

$1.25 OpenRouter

Output / 1M tokens

$0.95677% off

$4.25 OpenRouter

Cache read / 1M

$0.034

Repeated prompt prefixes

Cache read is the discounted rate for repeated prompt prefixes (system prompts, agent context).

Capabilities · 10

Vision Reasoning Effort: low / medium / high Tool calling JSON mode JSON schema Web search File input PDF Streaming

Specifications

Context window
1.0M
Max output
944K
Type
Vision
Creator
Meta
Live sellers
1
Requests / 24h
—

Estimated monthly cost

30 days at the cheapest live price.

AI Chatbot
1,000 req/day · 2K in · 0.5K out
$31.22/mo
$138.75 OpenRouter
Coding Copilot
500 req/day · 8K in · 2K out
$62.45/mo
$277.50 OpenRouter
AI Agent
100 req/day · 50K in · 5K out
$56.54/mo
$251.25 OpenRouter

Quick start

OpenAI-compatible — change the base URL and key. Get a key from the dashboard.

from openai import OpenAI

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

response = client.chat.completions.create(
    model="muse-spark-1.3",
    messages=[{"role": "user", "content": "Hello!"}],
)

print(response.choices[0].message.content)

About Meta: Muse Spark 1.3

Meta: Muse Spark 1.3 is a multimodal 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. It can write up to 944K tokens in a single response.

As of Oct 15, 2026, Meta: Muse Spark 1.3 costs $0.281 per 1M input tokens and $0.956 per 1M output tokens on Qubax, versus $1.25 / $4.25 on OpenRouter (78% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $1.04. Pay with USDC, USDT, BTC, ETH or 200+ other coins — no credit card required.

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

Similar-priced alternatives

Frequently asked questions

How much does the Meta: Muse Spark 1.3 API cost?

On Qubax, Meta: Muse Spark 1.3 costs $0.281 per 1M input tokens and $0.956 per 1M output tokens. This is 78% cheaper than OpenRouter's price of $1.25 per 1M input tokens.

Is the Meta: Muse Spark 1.3 API compatible with OpenAI?

Yes. Qubax provides an OpenAI-compatible API. You can use Meta: Muse Spark 1.3 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 1.3 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 — 78% cheaper than OpenRouter's price for Meta: Muse Spark 1.3.

How do I pay for Meta: Muse Spark 1.3 API usage?

Qubax uses prepaid crypto credits. Top up with USDC, USDT, BTC, ETH, SOL or 200+ other coins and your balance is deducted as you use the API. No credit card or KYC required.

What is the context window of Meta: Muse Spark 1.3?

Meta: Muse Spark 1.3 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 1.3?

You can use Meta: Muse Spark 1.3 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 and process long documents and entire codebases. 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 and reliable is Meta: Muse Spark 1.3 on Qubax?

Responses stream token by token. Latency depends on the provider and prompt length.

Meta: Muse Spark 1.3 vs NVIDIA Nemotron 3 Ultra 550B: which should I choose?

Meta: Muse Spark 1.3 by Meta and NVIDIA Nemotron 3 Ultra 550B by Other are both strong models in a similar price tier. Meta: Muse Spark 1.3 excels at complex reasoning and supports vision/image inputs. NVIDIA Nemotron 3 Ultra 550B comes from a different lab and may have different strengths depending on your workload. On Qubax, Meta: Muse Spark 1.3 starts at $0.281/1M input tokens while NVIDIA Nemotron 3 Ultra 550B comes in at $0.264/1M, so NVIDIA Nemotron 3 Ultra 550B may be worth considering if you need to minimize per-token cost. 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 1.3 for commercial projects?

Yes. Meta: Muse Spark 1.3 on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.

Why use Meta: Muse Spark 1.3 on Qubax?

77% cheaper

Providers compete on price — you get the cheapest healthy seller.

Pay with crypto

200+ coins (BTC, ETH, SOL, USDT, USDC). No card, no KYC.

OpenAI & Anthropic compatible

Drop-in base URL. Works with Cline, Cursor, Claude Code, OpenAI and Anthropic SDKs.

Get started free →

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Meta: Muse Spark 1.3

$0.281 in · $0.956 out

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