Muse Ember
Description
Muse Ember is Meta Superintelligence Labs' smallest and most efficient multimodal reasoning model, built for high-volume agent execution such as tool calls, coding subtasks, routing, extraction, and long-document work. It is available on the Meta Model API and in Muse Code as muse-ember-1.0 in Standard mode only (there is no Contributor-mode variant). It accepts text, image, video, audio, and PDF input and returns text, with a 1,048,576-token context window and up to 524,288 output tokens. Reasoning effort ranges from minimal to max; the default is max. Pay-as-you-go pricing for requests with up to 200K input tokens is $0.10 per million input tokens, $0.004 per million cached input tokens, and $0.50 per million output tokens. Requests with more than 200K input tokens are billed in full at $0.30/$0.012/$1.50. Web search grounding costs $2.50 per 1,000 search queries on top of token charges.
Capability Radar
Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 57 | 50.0 | LS |
| Multimodal Ranking | 130 | 27.0 | LS |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
Multimodal
Reasoning
Vision
AA Evaluation Indices
(Artificial Analysis)No AA evaluation data available
LLM Stats Category Scores
(LLM Stats (zeroeval))Pricing
Speed
No speed data available
Provider Price Ranking
Provider Price Ranking
4 providers
Compare pricing across different API providers for this model.