Meta: Muse Ember
muse-ember
Meta's Muse Ember is the smallest and most efficient Muse model, built for the work agents repeat all day: tool calls, coding-agent subtasks, routing, and extraction. It accepts text, images, audio, video, and PDF documents across a one-million-token context window, supports tool calling and structured output, and always reasons before answering.
Modalities
Text + Image + Video + Audio → Text
Input / output price
$0.130 / $0.650 per 1M
Context
1.05M
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $0.130 |
| Output | $0.650 |
| Cached input | $0.0052 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00091
- Per day
- $0.4550
- Per month (30 days)
- $13.65
Muse Ember: input $0.13/M · output $0.65/M · cached input $0.0052/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "muse-ember", "max_tokens": 800,
"messages": [{"role": "user", "content": "…"}]}'Code samples
OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to muse-ember.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "muse-ember",
"stream": true,
"messages": [{"role": "user", "content": "Hello"}]
}'Use it in a client: Cursor · Cline · SillyTavern · Codex
Parameters
Common OpenAI parameters can be passed as-is.
temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseedFAQ
- How is Muse Ember billed?
- Input is $0.130 and output is $0.650 per million tokens; cached input is $0.0052. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 1.05M tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
- Does it support streaming?
- Yes. Add
"stream": trueto the request to receive server-sent events in the OpenAI format.