Meta Muse Ember
Meta's smallest and most efficient Muse model for the work agents repeat all day: tool calls, coding subtasks, routing, extraction and long document parsing, with image, video and audio input and a 1M-token context window.
Muse Ember is a cloud text model built by Meta. It is multimodal: alongside a text prompt it accepts images, video, and audio, then replies with generated text. Its context window handles up to 1.05M input tokens and up to 131K output tokens, and it supports adjustable reasoning effort for harder problems. Generation can be tuned with system instructions, temperature, and top-p sampling. It runs through OpenRouter using your own API key, from $0.10 per million input tokens.
- Released
- Nov 2026
- Pricing
- $0.10 / 1M in · $0.50 / 1M out
- Inputs
- Text, Images, Video, Audio
- Context window
- 1.05M in · 131K out
- Reasoning
- Adjustable effort
- Controls
- System prompt, Temperature, Top-p
Samples
Generated with Muse Ember via OpenRouter. The same three prompts run against every text model in the catalog, shown verbatim, so the only thing that changes between two models’ answers is the model.
Explain what an API is to someone who has never written code. Do not use a restaurant or waiter analogy. Plain prose only — no headings, bullet points, or markdown formatting. Maximum 50 words.
An API is a defined way for two computer programs to communicate. One can ask the other for information or ask it to do a task, following agreed rules for what to send and what to expect back, without knowing how the other works inside.
A two-person startup is deciding whether to build their own user authentication or use a hosted provider. Give them a clear recommendation, then the single strongest argument against your own recommendation. Plain prose only — no headings, bullet points, or markdown formatting. Maximum 150 words.
Use a hosted authentication provider rather than building your own. As a two-person team your scarcest resource is engineering time, and authentication is far more complex than it appears, involving password storage, breach response, email verification, session management, fraud prevention, and regulatory compliance. A reputable provider already handles these well and lets you ship faster with lower security risk. The strongest argument against this is dependency. Hosted providers can raise prices dramatically as you grow, change their terms, or shut down, leaving you locked in with user credentials and login flows that are costly to migrate. If authentication is core to your product and you expect very large scale, owning it gives you control over cost and long-term risk.
Write a briefing for a non-technical executive explaining why their company's spending on AI is hard to predict, and what they can do about it. Cover at least three distinct causes. Plain prose only — no headings, bullet points, or markdown formatting. Write exactly 205 words.
AI spending is hard to predict because costs depend on use rather than fixed licences because projects need costly experimentation and because demand keeps changing as the technology improves. First, many AI tools charge per request, per document, or per user, so a successful pilot can become far more expensive when thousands of employees use it every day or when it handles much larger volumes than planned. Second, nobody can reliably estimate the work needed to prepare messy data, train staff, test whether answers are trustworthy, and fix problems before a tool is safe for customers. Third, new uses appear quickly, vendors change prices and features, and leaders naturally ask for more after seeing early results, so a budget approved in January rarely matches real needs by later in the year. You can make spending more predictable without stopping innovation by treating AI as a staged investment rather than a single fixed purchase. Create a separate experimentation fund, release money in stages only when a small trial proves value, and track usage and unit costs monthly against clear forecasts. Also set approval limits for high volume use, negotiate contracts that let you control volume or switch providers, and stop projects that do not deliver benefits.
Meta
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