WeWorkBuddy

Introducing Our Smallest, Most Efficient Model: Muse Ember

Introducing Our Smallest, Most Efficient Model: Muse Ember Meta AI just launched their entry in the Claude Haiku/GPT Luna category: Muse Ember, which they describe as: [...] our smallest and most efficient model designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing. For shorter prompts it's priced the same as GPT-6 Luna and Claude Haiku 5.5 - both are $0.10/million input tokens and $0.50/million ou

Read original source
Source page screenshot: Introducing Our Smallest, Most Efficient Model: Muse Ember
Source page screenshot · simonwillison.net

Source record

Research analysis

What changed

Source account: Introducing Our Smallest, Most Efficient Model: Muse Ember Meta AI just launched their entry in the Claude Haiku/GPT Luna category: Muse Ember, which they describe as: [...] our smallest and most efficient model designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing. For shorter prompts it's priced the same as GPT-6 Luna and Claude Haiku 5.5 - both are $0.10/million input tokens and $0.50/million ou

Version & cost evidence

Recent records to compare: “Show HN: Zeus – Claude Code for AI voice agents” (Hacker News, Nov 10, 2026); “Show HN: Lovable for Photoshop” (Hacker News, Nov 10, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.

Who is affected

Identify the existing workflow this change affects before recommending an upgrade. Launch attention does not establish improvement; an API, pricing or availability change may instead create migration work.

Missing comparison points

Missing checks: old versus new behavior, affected plans and regions, availability date, compatibility, rollback path and cost under the same workload.

Migration check

Save the release or policy notice, run the same task on the old and new option, and compare outputs and the full bill. For retirement notices, verify the deadline before scheduling migration.