Meta: Muse Ember
meta/muse-emberMuse 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,...
- Context window
- 1,048,576 tokens
- Input
- text · image · video · file · audio
- Output
- text
- Relay support
- Text & vision
Reference prices & points
Our global markup: 15% · 1 USD = 10,000 points · Price version 0
| Billing unit | OpenRouter / USD | Our reference / USD | Points |
|---|---|---|---|
| Input / 1M tokens | $0.1 | $0.115 | 1,150 |
| Output / 1M tokens | $0.5 | $0.575 | 5,750 |
| Per search | $0.0025 | $0.002875 | 28.75 |
| Cache read / 1M tokens | $0.004 | $0.0046 | 46 |
| Cache write / 1M tokens | $0.125 | $0.14375 | 1,437.5 |
Actual charge = the OpenRouter request cost × the markup locked for that request. Catalogue rates may be routing references; caching, long context, images and audio are charged when used. Listed prices do not mean every capability is available through this relay.
Catalogue time: 2026-11-11T22:55:22.579Z · Live catalogue
View all upstream price fields
{
"prompt": "0.0000001",
"completion": "0.0000005",
"web_search": "0.0025",
"input_cache_read": "0.000000004",
"input_cache_write": "0.000000125"
}Integration & availability
Use /v1/chat/completions for non-streaming, multi-turn conversations. Models marked for vision accept images; documents can be extracted to text in the workspace. Create a site API key and ensure you have enough points and the service is enabled. Provider availability, context and budget limits apply.