Muse Ember API
Meta's Muse Ember costs $0.100 per million input tokens and $0.501 per million output tokens from 1 independent provider. Each request through the OpenAI-compatible API goes to the offer with the lowest estimated charge that meets your rules.
- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send muse-ember as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.
About Muse Ember
Muse Ember is a language model from Meta. It takes text, audio, files, images and video and gives text. The largest offer takes 1,048,576 input tokens. 1 independent provider quotes it on this exchange now.
Facts
- Model name
- muse-ember
- Maker
- Meta
- Context window
- 1M tokens
- Input price
- $0.100 per million tokens
- Output price
- $0.501 per million tokens
- Providers
- 1 independent provider
- Regions
- us
Providers
- Architect: us, $0.100 input and $0.501 output per million tokens, $0.0040 cache read per million tokens, 1M tokens of context
Request
curl https://router.inference.ai.exchange/v1/chat/completions \
-H "Authorization: Bearer $LIQUID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "muse-ember",
"messages": [{"role":"user","content":"Say hello."}]
}'Questions
- What is Muse Ember?
- Muse Ember is a language model from Meta.
- How much does Muse Ember cost?
- Offers now ask $0.100 per million input tokens and $0.501 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
- What is the context length of Muse Ember?
- The largest offer takes 1,048,576 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
- What can Muse Ember do?
- Its providers list Audio input, Documents, Vision, Video input, Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
- What inputs and outputs does Muse Ember support?
- Text · Audio · Files · Images · Video → Text.
- Which providers serve Muse Ember?
- 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
- How do I call Muse Ember?
- Send "muse-ember" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
- When was Muse Ember listed?
- The exchange first listed it on 11/12/2026. This is not its release date.
Related pages
- Llama 3.2 3B Instruct
- Llama 3.1 8B Instruct
- Meta: Llama 3.1 8B Instruct FP8
- Llama: Guard 3 8B
- Llama 3 8B Instruct
- Llama: Guard 4 12B
- Set up a client
- All models
- Providers
- Discover the best model for your budget
- Quickstart
- llms.txt: the index of every page, as Markdown
- llms-full.txt: every page in one file
- This page as Markdown