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Muse Ember

Muse Ember: Meta’s smallest model, $0.10 per M tokens

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Muse Ember is Meta’s smallest and most efficient model, built for tool calls, coding subtasks, routing, extraction and long document parsing. It handles text, images, audio and video with a 1M-token context window. Per Meta, it matches Claude Haiku 5.5’s best Artificial Analysis score at about a third of the cost. API pricing is $0.10 per million input tokens and $0.50 output. Available in the Meta Model API and Muse Code.

PH · launched Nov 10, 2026 · 1 upvote (top 65%) · 0 views

Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product
  • Artificial Intelligence

Visit website ↗ Source listing ↗

Could you build this?

No This is a frontier language model from Meta, not an app. Building a comparable model requires large-scale pretraining compute, proprietary data, and research teams.

What it would actually take: Reproducing it would require pretraining on trillions of tokens of multimodal data across large GPU clusters, followed by distillation, RLHF, and extensive evaluation. The required resources are an ML research team, data pipelines, and infrastructure costing millions of dollars.

Competitors

Other products that read as similar to this one : 174 launches clear the similarity bar, closest 8 shown.

Attention rank: #114 of 175 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 356 days after the earliest competitor.

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