{
 "generated": "2026-11-10",
 "sha": "c82ffc020d8a",
 "node": {
  "id": "model:muse-ember-1-0",
  "type": "Model",
  "in_eps": [
   111
  ],
  "name": "Muse Ember（muse-ember-1.0）",
  "slug": "muse-ember-1-0",
  "date": "2026-11-09",
  "category": "closed-llm",
  "category_zh": "闭源 LLM",
  "access": "closed",
  "license": "专有",
  "eps": [
   111
  ],
  "page": "/graph/models/#m-muse-ember-1-0",
  "size": "未披露参数量；Meta 称是自家最小、最高效的模型；原生理解文本、图像、音频、视频，上下文 100 万 token、最多输出 51.2 万 token；第一个用 Muse Wonder Full 训练的模型",
  "avail": "Meta Model API 和 Muse Code，另在 Google Cloud 和 Oracle Cloud 上线；官方页没有写权重是否开放，目前没有放出；200K token 以内的提示每百万 token 输入 $0.10、输出 $0.50（更长提示 $0.30 / $1.50）",
  "license_full": "专有（官方页未提权重许可）",
  "facts": [
   "Artificial Analysis Intelligence Index v5：Ember 36 分，Claude Haiku 5.5 也是 36、GPT-6 Luna 28；每个任务成本约 $0.14，图注写明是按拟定价格估算（厂商自述）",
   "官方页自己列了输的地方：FrontierCode 2.0-AA 上 Ember 27.2%，Haiku 5.5 为 34.9%；表里还有多项 Meta 内部基准（Personal Superintelligence Index 等）和用 Meta 自己评分条件跑的 OSWorld 2.1（厂商自述）",
   "Terminal-Bench 4.0 用的是每个模型各自最好的工具链（Ember 用 mini-swe-agent，Haiku 用 Claude Code，Luna 用 Codex），不是同一套（官方页脚注）"
  ],
  "sources": [
   {
    "label": "Meta 官方页",
    "url": "https://research.meta.ai/blog/muse-ember",
    "kind": "official"
   },
   {
    "label": "AI at Meta 的 X 帖",
    "url": "https://x.com/AIatMeta/status/2119853591703998787",
    "kind": "social"
   }
  ],
  "ep_tags": {},
  "developer_text": "Meta",
  "degree": 0.0008
 },
 "page": "https://xiaopingfeng.com/graph/e/model/muse-ember-1-0/",
 "out": [
  {
   "type": "developed_by",
   "sentence": "Muse Ember的开发方是Meta",
   "direction": "out",
   "id": "org:meta",
   "name": "Meta",
   "unit": "",
   "role": "primary",
   "status": "base",
   "evidence": [
    {
     "kind": "ledger",
     "label": "本站新模型台账",
     "text": "新模型台账：开发者栏写作“Meta”；Meta 官方页",
     "url": "https://research.meta.ai/blog/muse-ember"
    }
   ]
  },
  {
   "type": "placed_in",
   "sentence": "Muse Ember出现在 Landscape 的「闭源 / 仅 API 的语言模型」",
   "direction": "out",
   "id": "layer:ai-models--2",
   "name": "闭源 / 仅 API 的语言模型",
   "status": "derived",
   "evidence": [
    {
     "kind": "own",
     "label": "本站页面",
     "text": "AI 新模型台账：Muse Ember（muse-ember-1.0）（闭源 / 仅 API 的语言模型）",
     "url": "https://xiaopingfeng.com/graph/models/#m-muse-ember-1-0"
    }
   ]
  }
 ],
 "in": []
}