Meta launches Muse Ember, a low-cost model for agent subtasks at $0.10 per million input tokens
Meta released Muse Ember on November 9, 2026, its smallest and most efficient Muse model, aimed at tool calls, coding subtasks, routing, extraction and long-document parsing, priced at $0.10 per million input tokens and $0.50 per million output tokens.
What happened
- Muse Ember is available on the Meta Model API and Muse Code as muse-ember-1.0, with a 1M-token context window and up to 512K output tokens, and supports the Responses API.
- Pricing for prompts up to 200K tokens is $0.10 per million input tokens, $0.004 per million cached input tokens and $0.50 per million output tokens; longer prompts cost $0.30 input and $1.50 output.
- It natively accepts text, images, audio and video, and Meta positions it for high-volume agent work alongside Muse Wonder for the hardest problems.
- Meta says Muse Ember scores 36 on the Artificial Analysis Intelligence Index at about $0.14 per task, and claims more intelligence per dollar than Claude Haiku 5.5 or GPT-6 Luna.
- Meta says the Muse models are also available on Google Cloud and Oracle Cloud.
Why it matters: Developers running agents that make many small calls, like subagents, routing or data extraction, get another very low-cost option with a long context window. The benchmark comparisons are Meta's own reporting, so test it on your own workload.
Sources
- Meta: Introducing Muse Ember research.meta.ai
Checked November 10, 2026 against the sources above. Claims about performance or benchmarks are the company's own unless stated otherwise.