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Meta: Muse Ember API

Meta·Vision

Muse Ember is the smallest and most efficient model from Meta that’s designed for complex reasoning execution and the work agents repeat all day: tool calls, coding agent subtasks, routing,...

1.0M Context 524.3K out
Input
Text Image File Audio Video
Output
Text

Pricing

Cheapest live price, per 1 million tokens.

Input / 1M tokens

$0.07525% off

$0.100 OpenRouter

Output / 1M tokens

$0.37525% off

$0.500 OpenRouter

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
524K
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
$10.13/mo
$13.50 OpenRouter
Coding Copilot
500 req/day · 8K in · 2K out
$20.25/mo
$27.00 OpenRouter
AI Agent
100 req/day · 50K in · 5K out
$16.88/mo
$22.50 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-ember",
    messages=[{"role": "user", "content": "Hello!"}],
)

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

About Meta: Muse Ember

Meta: Muse Ember 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 524K tokens in a single response.

As of Nov 9, 2026, Meta: Muse Ember costs $0.075 per 1M input tokens and $0.375 per 1M output tokens on Qubax, versus $0.100 / $0.500 on OpenRouter (25% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $0.34. Pay with USDC, USDT, BTC, ETH or 350+ 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 Ember API cost?

On Qubax, Meta: Muse Ember costs $0.075 per 1M input tokens and $0.375 per 1M output tokens. This is 25% cheaper than OpenRouter's price of $0.100 per 1M input tokens.

Is the Meta: Muse Ember API compatible with OpenAI?

Yes. Qubax provides an OpenAI-compatible API. You can use Meta: Muse Ember 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 Ember 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 — 25% cheaper than OpenRouter's price for Meta: Muse Ember.

How do I pay for Meta: Muse Ember API usage?

Qubax uses prepaid crypto credits. Top up with USDC, USDT, BTC, ETH, SOL or 350+ 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 Ember?

Meta: Muse Ember 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 Ember?

You can use Meta: Muse Ember 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 Ember on Qubax?

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

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

Meta: Muse Ember by Meta and NVIDIA Nemotron 3 Ultra 550B by NVIDIA are both strong models in a similar price tier. Meta: Muse Ember 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 Ember starts at $0.075/1M input tokens versus NVIDIA Nemotron 3 Ultra 550B's $0.113/1M — making Meta: Muse Ember 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 Ember for commercial projects?

Yes. Meta: Muse Ember 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 Ember on Qubax?

25% cheaper

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

Pay with crypto

350+ 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 Ember

$0.075 in · $0.375 out

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