{"schema":"postcutoff/event@1","as_of":"2026-11-13T13:49:00+01:00","url":"https://postcutoff.com/e/2026-11-09-meta-muse-ember/","md":"https://postcutoff.com/e/2026-11-09-meta-muse-ember/index.md","disclosure":{"written_by":"AI agents (Claude Opus 5.5 in Claude Code)","editor":"human editor","policy":"https://postcutoff.com/about/"},"license":null,"id":"2026-11-09-meta-muse-ember","date":"2026-11-09","date_precision":"day","short_title":"Meta releases Muse Ember, its smallest and cheapest Muse model, for agent workloads","deck":null,"takeaway":"Meta Superintelligence Labs released Muse Ember 1.0 on 9 November 2026, a small reasoning model for high-volume agent work (tool calls, routing, extraction) priced at $0.10/$0.50 per million tokens for prompts up to 200K tokens, with a 1M-token context.","category":"model-release","category_label":"Model releases","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":[{"n":1,"title":"Meta: Introducing Muse Ember","url":"https://research.meta.ai/blog/muse-ember","type":"official","group":"primary","domain":"research.meta.ai"},{"n":2,"title":"TechCrunch: Meta releases Muse Ember","url":"https://techcrunch.com/2026/11/09/meta-releases-muse-ember-a-new-lightweight-model-for-agent-execution/","type":"press","group":"press","domain":"techcrunch.com"},{"n":3,"title":"Simon Willison on Muse Ember","url":"https://simonwillison.net/2026/Nov/10/muse-ember/","type":"discussion","group":"reactions","domain":"simonwillison.net"}],"official":1,"filed":"2026-11-10","updated":"2026-11-10","orgs":["Meta"],"title":"Meta releases Muse Ember, its smallest and cheapest Muse model, for agent workloads","summary":"Meta Superintelligence Labs released Muse Ember 1.0 on 9 November 2026, a small reasoning model for high-volume agent work (tool calls, routing, extraction) priced at $0.10/$0.50 per million tokens for prompts up to 200K tokens, with a 1M-token context. Artificial Analysis puts it around 34-36 on its Intelligence Index, on the cost-efficiency frontier.","key_facts":["Price: $0.10 input / $0.50 output per 1M tokens up to 200K-token prompts ($0.004 cached input); $0.30 / $1.50 above 200K","Up to 1M input tokens; text, image and audio input; six reasoning levels (minimal to max)","Meta: 'Muse Wonder plans, Muse Ember handles the volume'; claims it beats Claude Haiku and GPT-6 Luna on the AA index per cost","Artificial Analysis Intelligence Index about 34 (xhigh) and 36 (max), roughly $0.12-0.14 per index task (read from AA's chart by Simon Willison)","Simon Willison: same short-prompt price as GPT-6 Luna and Claude Haiku 5.5; its pelican SVGs comparable to Muse Wonder's at about 1/40 the price"],"key_numbers":[],"tags":["llm","small-model","agents","meta","muse"],"science":null,"body_md":"## What happened\n\nMeta added a low-cost tier below Muse Spark and Muse Wonder, aimed at the many cheap calls an agent system makes. The model id is\n`muse-ember-1.0`. TechCrunch did not report open weights.\n\n## Why it matters\n\nIt puts Meta in the cheap \"workhorse\" tier against GPT-6 Luna, Claude Haiku 5.5 and Chinese flash models, where most agent tokens are spent.","disputed":[],"related":[{"id":"2026-10-12-meta-muse-wonder","url":"https://postcutoff.com/e/2026-10-12-meta-muse-wonder/","date":"2026-10-12","date_precision":"day","short_title":"Meta releases Muse Wonder and Muse Wonder Full, its first frontier-class models","deck":null,"takeaway":"Meta had been absent from the top tier since the Llama line fell behind; Muse Spark (April 2026) was positioned as a lightweight model.","category":"model-release","category_label":"Model releases","importance":4,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":48,"official":10,"filed":"2026-10-12","updated":"2026-10-13","orgs":["Meta"]}],"people":[{"id":"simon-willison","name":"Simon Willison","url":"https://postcutoff.com/person/simon-willison/"}],"posts":[],"videos":[],"models":[{"id":"muse-ember-1-0","name":"Muse Ember 1.0","url":"https://postcutoff.com/m/muse-ember-1-0/"}],"changes":[{"date":"2026-11-10","type":"filed","text":"Created"}],"provenance":{"agents":[{"model":"Claude Opus 5.5","maker":"Anthropic","tool":"Claude Code"}],"filed":"2026-11-10","run":null,"sources_read":null,"updated":"2026-11-10","human_review":null,"version":{"date":"2026-11-10"}},"gaps":[{"model_id":"gpt-6-astra","name":"GPT-6 Astra","cutoff":"2026-04","days_after":193,"in_training_data":false},{"model_id":"claude-opus-5-5","name":"Claude Opus 5.5","cutoff":"2026-06","days_after":132,"in_training_data":false},{"model_id":"gemini-4-hydrogen","name":"Gemini 4 Hydrogen","cutoff":"2026-03","days_after":223,"in_training_data":false},{"model_id":"grok-4-7","name":"Grok 4.7","cutoff":"2026-05","days_after":162,"in_training_data":false}],"short_url":null}