{"id":425,"date":"2026-11-10T11:30:00","date_gmt":"2026-11-10T06:00:00","guid":{"rendered":"https:\/\/akshaymaurya.in\/blog\/?p=425"},"modified":"2026-11-10T08:17:45","modified_gmt":"2026-11-10T02:47:45","slug":"meta-muse-ember-smallest-model-hindi","status":"publish","type":"post","link":"https:\/\/akshaymaurya.in\/blog\/meta-muse-ember-smallest-model-hindi\/","title":{"rendered":"Meta Muse Ember: \u0938\u092c\u0938\u0947 \u091b\u094b\u091f\u093e \u0914\u0930 \u0938\u0938\u094d\u0924\u093e AI Agent Model, \u0915\u0940\u092e\u0924 \u0938\u093f\u0930\u094d\u092b $0.10 \u092a\u094d\u0930\u0924\u093f Million Token"},"content":{"rendered":"\n<p>Meta \u0928\u0947 9 \u0928\u0935\u0902\u092c\u0930 2026 \u0915\u094b \u0905\u092a\u0928\u093e \u0928\u092f\u093e AI model <a href=\"https:\/\/research.meta.ai\/blog\/muse-ember\" target=\"_blank\" rel=\"noopener\">Muse Ember<\/a> \u092a\u0947\u0936 \u0915\u093f\u092f\u093e \u0939\u0948\u0964 \u0915\u0902\u092a\u0928\u0940 \u0907\u0938\u0947 \u0905\u092a\u0928\u093e \u0938\u092c\u0938\u0947 \u091b\u094b\u091f\u093e \u0914\u0930 \u0938\u092c\u0938\u0947 \u0915\u093f\u092b\u093e\u092f\u0924\u0940 model \u092c\u0924\u093e \u0930\u0939\u0940 \u0939\u0948\u0964 \u092f\u0939 \u0909\u0928 \u0915\u093e\u092e\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u092c\u0928\u093e \u0939\u0948 \u091c\u094b AI agent \u0926\u093f\u0928 \u092d\u0930 \u092c\u093e\u0930 \u092c\u093e\u0930 \u0915\u0930\u0924\u0947 \u0939\u0948\u0902, \u091c\u0948\u0938\u0947 tool call \u0915\u0930\u0928\u093e, coding \u0915\u0947 \u091b\u094b\u091f\u0947 \u0939\u093f\u0938\u094d\u0938\u0947 \u092a\u0942\u0930\u0947 \u0915\u0930\u0928\u093e, \u0915\u093e\u092e \u0915\u094b \u0938\u0939\u0940 \u091c\u0917\u0939 \u092d\u0947\u091c\u0928\u093e, \u091c\u093e\u0928\u0915\u093e\u0930\u0940 \u0928\u093f\u0915\u093e\u0932\u0928\u093e \u0914\u0930 \u0932\u0902\u092c\u0947 document \u092a\u0922\u093c\u0915\u0930 \u0938\u092e\u091d\u0928\u093e\u0964 \u092e\u0947\u0930\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 \u092f\u0939 \u0916\u092c\u0930 \u0907\u0938\u0932\u093f\u090f \u0905\u0939\u092e \u0939\u0948 \u0915\u094d\u092f\u094b\u0902\u0915\u093f \u0905\u092c \u0932\u0921\u093c\u093e\u0908 \u0938\u092c\u0938\u0947 \u0938\u0938\u094d\u0924\u0947 \u0914\u0930 \u0924\u0947\u091c \u0915\u093e\u092e \u0915\u0930\u0928\u0947 \u0935\u093e\u0932\u0947 model \u0915\u0940 \u092d\u0940 \u0939\u0948\u0964<\/p>\n<h2>Muse Ember \u0915\u094d\u092f\u093e \u0939\u0948 \u0914\u0930 Meta \u0928\u0947 \u0907\u0938\u0947 \u0915\u094d\u092f\u094b\u0902 \u092c\u0928\u093e\u092f\u093e<\/h2>\n<p>Muse Ember Meta \u0915\u0947 Muse \u092a\u0930\u093f\u0935\u093e\u0930 \u0915\u093e \u0938\u092c\u0938\u0947 \u091b\u094b\u091f\u093e \u0938\u0926\u0938\u094d\u092f \u0939\u0948\u0964 Meta \u0915\u093e \u0915\u0939\u0928\u093e \u0939\u0948 \u0915\u093f \u092c\u0921\u093c\u0947 model \u0939\u0930 \u0915\u093e\u092e \u0915\u0947 \u0932\u093f\u090f \u091c\u0930\u0942\u0930\u0940 \u0928\u0939\u0940\u0902 \u0939\u094b\u0924\u0947\u0964 \u0915\u0908 \u0915\u093e\u092e \u091b\u094b\u091f\u0947 \u0939\u094b\u0924\u0947 \u0939\u0948\u0902, \u092a\u0930 \u0926\u093f\u0928 \u092e\u0947\u0902 \u0939\u091c\u093e\u0930\u094b\u0902 \u092c\u093e\u0930 \u0926\u094b\u0939\u0930\u093e\u090f \u091c\u093e\u0924\u0947 \u0939\u0948\u0902\u0964 \u0905\u0917\u0930 \u0939\u0930 \u091b\u094b\u091f\u0947 \u0915\u093e\u092e \u0915\u0947 \u0932\u093f\u090f \u092c\u0921\u093c\u093e \u0914\u0930 \u092e\u0939\u0902\u0917\u093e model \u091a\u0932\u093e\u092f\u093e \u091c\u093e\u090f, \u0924\u094b \u0916\u0930\u094d\u091a \u092c\u0939\u0941\u0924 \u092c\u0922\u093c \u091c\u093e\u0924\u093e \u0939\u0948 \u0914\u0930 \u091c\u0935\u093e\u092c \u092e\u093f\u0932\u0928\u0947 \u092e\u0947\u0902 \u0938\u092e\u092f \u092d\u0940 \u0932\u0917\u0924\u093e \u0939\u0948\u0964 Ember \u0907\u0938\u0940 \u0938\u092e\u0938\u094d\u092f\u093e \u0915\u094b \u0939\u0932 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u092c\u0928\u093e\u092f\u093e \u0917\u092f\u093e \u0939\u0948\u0964 \u092f\u0939 \u0907\u0928 \u0915\u093e\u092e\u094b\u0902 \u092e\u0947\u0902 \u0924\u0947\u091c \u0914\u0930 \u0938\u0938\u094d\u0924\u093e \u0930\u0939\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u092c\u0928\u093e \u0939\u0948\u0964 \u092f\u0939 Meta Model API \u092a\u0930 \u0905\u092d\u0940 \u0909\u092a\u0932\u092c\u094d\u0927 \u0939\u0948 \u0914\u0930 Muse Code \u092e\u0947\u0902 muse-ember-1.0 \u0915\u0947 \u0928\u093e\u092e \u0938\u0947 \u092e\u093f\u0932 \u0930\u0939\u093e \u0939\u0948\u0964 \u0907\u0938\u092e\u0947\u0902 Responses API \u0915\u093e support \u092d\u0940 \u0939\u0948\u0964 \u0907\u0938\u0915\u0947 \u0938\u093e\u0925 \u0939\u0940 \u092f\u0939 Google Cloud \u0914\u0930 Oracle Cloud \u092a\u0930 \u092d\u0940 \u0909\u092a\u0932\u092c\u094d\u0927 \u0939\u0948\u0964<\/p>\n<h2>\u0915\u0940\u092e\u0924 \u0915\u093f\u0924\u0928\u0940 \u0939\u0948 \u0914\u0930 \u092f\u0939 \u0907\u0924\u0928\u093e \u0938\u0938\u094d\u0924\u093e \u0915\u094d\u092f\u094b\u0902 \u0939\u0948<\/h2>\n<p>Muse Ember \u0915\u0940 \u0915\u0940\u092e\u0924 \u0939\u0940 \u0907\u0938\u0915\u0940 \u0938\u092c\u0938\u0947 \u092c\u0921\u093c\u0940 \u092a\u0939\u091a\u093e\u0928 \u0939\u0948\u0964 \u0907\u0938\u0915\u0940 \u0915\u0940\u092e\u0924 0.10 \u0921\u0949\u0932\u0930 \u092a\u094d\u0930\u0924\u093f million input token \u0939\u0948\u0964 Cached input token \u0915\u0940 \u0915\u0940\u092e\u0924 \u0938\u093f\u0930\u094d\u092b 0.004 \u0921\u0949\u0932\u0930 \u092a\u094d\u0930\u0924\u093f million token \u0939\u0948\u0964 Output token \u0915\u0940 \u0915\u0940\u092e\u0924 0.50 \u0921\u0949\u0932\u0930 \u092a\u094d\u0930\u0924\u093f million token \u0939\u0948\u0964 \u0905\u0917\u0930 agent \u092a\u0941\u0930\u093e\u0928\u0940 \u091c\u093e\u0928\u0915\u093e\u0930\u0940 \u0926\u094b\u092c\u093e\u0930\u093e \u0907\u0938\u094d\u0924\u0947\u092e\u093e\u0932 \u0915\u0930\u0924\u093e \u0939\u0948, \u0924\u094b cached \u0915\u0940\u092e\u0924 \u0938\u0947 \u0916\u0930\u094d\u091a \u092c\u0939\u0941\u0924 \u0915\u092e \u0939\u094b \u091c\u093e\u090f\u0917\u093e\u0964 Meta \u0915\u093e \u0928\u093f\u0936\u093e\u0928\u093e \u0939\u0930 \u0926\u093f\u0928 \u0932\u093e\u0916\u094b\u0902 \u091b\u094b\u091f\u0947 agent \u0915\u093e\u092e \u0915\u0930\u0935\u093e\u0928\u0947 \u0935\u093e\u0932\u0940 \u0915\u0902\u092a\u0928\u093f\u092f\u094b\u0902 \u092a\u0930 \u0939\u0948\u0964<\/p>\n<h2>1 Million Token Context \u0914\u0930 Multimodal \u0915\u094d\u0937\u092e\u0924\u093e<\/h2>\n<p>Muse Ember \u092e\u0947\u0902 1 million token \u0915\u0940 context window \u0926\u0940 \u0917\u0908 \u0939\u0948\u0964 \u0907\u0938\u0915\u093e \u092e\u0924\u0932\u092c \u0939\u0948 \u0915\u093f \u092f\u0939 \u092c\u0939\u0941\u0924 \u0932\u0902\u092c\u093e document \u092f\u093e \u092c\u0921\u093c\u093e \u0915\u094b\u0921 \u092c\u0947\u0938 \u090f\u0915 \u092c\u093e\u0930 \u092e\u0947\u0902 \u092a\u0922\u093c \u0938\u0915\u0924\u093e \u0939\u0948\u0964 \u0907\u0938\u0915\u0947 \u0938\u093e\u0925 \u0939\u0940 \u092f\u0939 512,000 output token \u0924\u0915 \u0926\u0947 \u0938\u0915\u0924\u093e \u0939\u0948\u0964 \u092f\u0939 \u0938\u093f\u0930\u094d\u092b text \u0928\u0939\u0940\u0902 \u092a\u0922\u093c\u0924\u093e\u0964 \u0907\u0938\u092e\u0947\u0902 multimodal input \u0915\u0940 \u0938\u0941\u0935\u093f\u0927\u093e \u0939\u0948, \u092f\u093e\u0928\u0940 \u092f\u0939 text \u0915\u0947 \u0938\u093e\u0925 image, audio \u0914\u0930 video \u0915\u094b \u092d\u0940 input \u0915\u0947 \u0924\u094c\u0930 \u092a\u0930 \u0938\u092e\u091d \u0938\u0915\u0924\u093e \u0939\u0948\u0964 \u092f\u0939 \u092a\u0939\u0932\u093e model \u0939\u0948 \u091c\u093f\u0938\u0947 Meta \u0915\u0947 \u0938\u092c\u0938\u0947 \u092c\u0921\u093c\u0947 model Muse Wonder Full \u0915\u0940 \u092e\u0926\u0926 \u0938\u0947 train \u0915\u093f\u092f\u093e \u0917\u092f\u093e \u0939\u0948\u0964 Meta \u0915\u0940 \u0938\u094b\u091a \u090f\u0915 \u0932\u093e\u0907\u0928 \u092e\u0947\u0902 \u092f\u0939 \u0939\u0948 \u0915\u093f Muse Wonder \u092f\u094b\u091c\u0928\u093e \u092c\u0928\u093e\u0924\u093e \u0939\u0948 \u0914\u0930 Muse Ember \u092d\u093e\u0930\u0940 \u092e\u093e\u0924\u094d\u0930\u093e \u0935\u093e\u0932\u093e \u0915\u093e\u092e \u0938\u0902\u092d\u093e\u0932\u0924\u093e \u0939\u0948\u0964<\/p>\n<h2>Benchmark \u092e\u0947\u0902 \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u0928 \u0915\u0948\u0938\u093e \u0930\u0939\u093e<\/h2>\n<p>Artificial Analysis \u0915\u0947 \u092f\u0947 \u0928\u0924\u0940\u091c\u0947 9 \u0928\u0935\u0902\u092c\u0930 2026 \u0915\u0947 \u0939\u0948\u0902 \u0914\u0930 \u0905\u0927\u093f\u0915\u0924\u092e reasoning \u0935\u093e\u0932\u0940 setting \u092a\u0930 \u0932\u093f\u090f \u0917\u090f \u0939\u0948\u0902\u0964 Artificial Analysis Intelligence Index \u092e\u0947\u0902 Ember \u0915\u094b 36 \u0905\u0902\u0915 \u092e\u093f\u0932\u0947, \u091c\u094b Claude Haiku 5.5 \u0915\u0947 36 \u0905\u0902\u0915 \u0915\u0947 \u092c\u0930\u093e\u092c\u0930 \u0939\u0948, \u092a\u0930 Ember \u0915\u0940 \u092a\u094d\u0930\u0924\u093f task \u0932\u093e\u0917\u0924 0.14 \u0921\u0949\u0932\u0930 \u0939\u0948, \u091c\u092c\u0915\u093f Haiku \u0915\u0940 0.41 \u0921\u0949\u0932\u0930 \u0939\u0948\u0964 GPT-6 Luna \u0915\u094b \u0907\u0938 index \u092e\u0947\u0902 28 \u0905\u0902\u0915 \u092e\u093f\u0932\u0947, \u0914\u0930 Ember \u0928\u0947 \u0909\u0938\u0947 \u0939\u0930 setting \u092e\u0947\u0902 \u092a\u0940\u091b\u0947 \u091b\u094b\u0921\u093c\u093e\u0964 AutomationBench-AA \u092e\u0947\u0902 Ember \u0915\u094b 37.8 \u092a\u094d\u0930\u0924\u093f\u0936\u0924, Haiku \u0915\u094b 13.9 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0914\u0930 Luna \u0915\u094b 20.2 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u092e\u093f\u0932\u093e\u0964 Agents Last Exam \u092e\u0947\u0902 Ember 61.6 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0915\u0947 \u0938\u093e\u0925 Haiku \u0915\u0947 57.0 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0914\u0930 Luna \u0915\u0947 57.1 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0938\u0947 \u0906\u0917\u0947 \u0930\u0939\u093e\u0964 Terminal-Bench 4.0 \u092e\u0947\u0902 Ember \u0915\u094b 40.9 \u092a\u094d\u0930\u0924\u093f\u0936\u0924, Haiku \u0915\u094b 39.2 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0914\u0930 Luna \u0915\u094b 16.4 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u092e\u093f\u0932\u093e\u0964 Coding Agent Index-AA \u092e\u0947\u0902 Ember \u0915\u094b 46 \u0905\u0902\u0915, Haiku \u0915\u094b 37 \u0914\u0930 Luna \u0915\u094b 31 \u0905\u0902\u0915 \u092e\u093f\u0932\u0947\u0964 FrontierCode 2.0-AA \u092e\u0947\u0902 Ember 27.2 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0915\u0947 \u0938\u093e\u0925 Haiku \u0915\u0947 34.9 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0938\u0947 \u092a\u0940\u091b\u0947 \u0930\u0939\u093e, \u091c\u092c\u0915\u093f Luna \u0915\u094b 25.2 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u092e\u093f\u0932\u093e\u0964 \u0907\u0938 benchmark \u092e\u0947\u0902 Ember \u0939\u093e\u0930\u0924\u093e \u0939\u0948\u0964 OSWorld 2.1 \u092e\u0947\u0902 Ember \u0915\u094b 69.5 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 partial credit \u0914\u0930 Haiku \u0915\u094b 68.9 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u092e\u093f\u0932\u093e\u0964 PerceptionBench with tools \u092e\u0947\u0902 Ember 80.6 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0915\u0947 \u0938\u093e\u0925 Haiku \u0915\u0947 78.6 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0938\u0947 \u0906\u0917\u0947 \u0930\u0939\u093e\u0964<\/p>\n<h2>\u0915\u092e\u091c\u094b\u0930\u0940: \u091c\u094d\u091e\u093e\u0928 \u092e\u0947\u0902 \u092a\u0940\u091b\u0947, \u092f\u0939 \u0915\u093e\u092e \u0915\u0930\u0928\u0947 \u0935\u093e\u0932\u093e Model \u0939\u0948<\/h2>\n<p>Muse Ember \u0915\u0940 \u0938\u092c\u0938\u0947 \u092c\u0921\u093c\u0940 \u0915\u092e\u091c\u094b\u0930\u0940 \u0907\u0938\u0915\u093e \u0938\u093e\u092e\u093e\u0928\u094d\u092f \u091c\u094d\u091e\u093e\u0928 \u0939\u0948\u0964 Artificial Analysis \u0915\u0947 AA-Omniscience test \u092e\u0947\u0902 \u0907\u0938\u0915\u0940 accuracy \u0938\u093f\u0930\u094d\u092b 21.1 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0930\u0939\u0940, \u091c\u094b \u0924\u0941\u0932\u0928\u093e \u0915\u093f\u090f \u0917\u090f model \u092e\u0947\u0902 \u0938\u092c\u0938\u0947 \u0915\u092e \u0939\u0948\u0964 \u092f\u0939 trivia \u0924\u0930\u0939 \u0915\u0947 \u0938\u0935\u093e\u0932\u094b\u0902 \u0915\u0947 \u091c\u0935\u093e\u092c \u0926\u0947\u0928\u0947 \u0938\u0947 64 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u092e\u093e\u092e\u0932\u094b\u0902 \u092e\u0947\u0902 \u092e\u0928\u093e \u0915\u0930 \u0926\u0947\u0924\u093e \u0939\u0948\u0964 \u0907\u0938\u0915\u093e \u092b\u093e\u092f\u0926\u093e \u092f\u0939 \u0939\u0948 \u0915\u093f \u0907\u0938\u0915\u0940 hallucination \u0926\u0930 \u0938\u093f\u0930\u094d\u092b 17.4 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0930\u0939\u0924\u0940 \u0939\u0948, \u091c\u094b Claude Haiku 5.5 \u0915\u0940 \u0926\u0930 \u0938\u0947 \u0932\u0917\u092d\u0917 \u0906\u0927\u0940 \u0939\u0948\u0964 \u092e\u0947\u0930\u0947 \u0939\u093f\u0938\u093e\u092c \u0938\u0947 \u092f\u0939 model \u091c\u094d\u091e\u093e\u0928\u0915\u094b\u0936 \u092c\u0928\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0928\u0939\u0940\u0902 \u092c\u0928\u093e \u0939\u0948\u0964 \u092f\u0939 \u0926\u093f\u092f\u093e \u0917\u092f\u093e \u0915\u093e\u092e \u0924\u0947\u091c \u0914\u0930 \u0938\u0938\u094d\u0924\u0947 \u092e\u0947\u0902 \u092a\u0942\u0930\u093e \u0915\u0930\u0928\u0947 \u0935\u093e\u0932\u093e \u0938\u093e\u0925\u0940 \u0939\u0948\u0964<\/p>\n<h2>Muse Spark 1.3 \u0914\u0930 Muse Wonder \u0938\u0947 \u0924\u0941\u0932\u0928\u093e<\/h2>\n<p>Muse Spark 1.3 \u0938\u0947 \u0924\u0941\u0932\u0928\u093e \u0915\u0930\u0928\u0947 \u092a\u0930 \u092d\u0940 Muse Ember \u0915\u0940 \u0915\u0940\u092e\u0924 \u0935\u093e\u0932\u0940 \u0924\u093e\u0915\u0924 \u0938\u093e\u092b \u0926\u093f\u0916\u0924\u0940 \u0939\u0948\u0964 Artificial Analysis Intelligence Index \u092e\u0947\u0902 Ember \u0915\u094b 36 \u0905\u0902\u0915 \u092e\u093f\u0932\u0947 \u0939\u0948\u0902, \u091c\u092c\u0915\u093f Muse Spark 1.3 \u0915\u094b 37 \u0905\u0902\u0915 \u092e\u093f\u0932\u0947 \u0939\u0948\u0902\u0964 \u092f\u093e\u0928\u0940 \u092c\u0941\u0926\u094d\u0927\u093f\u092e\u0924\u094d\u0924\u093e \u0915\u0947 \u092e\u093e\u092e\u0932\u0947 \u092e\u0947\u0902 \u0926\u094b\u0928\u094b\u0902 \u0932\u0917\u092d\u0917 \u092c\u0930\u093e\u092c\u0930 \u0939\u0948\u0902\u0964 \u092a\u0930 \u092a\u094d\u0930\u0924\u093f task \u0932\u093e\u0917\u0924 \u092e\u0947\u0902 \u092c\u0939\u0941\u0924 \u092c\u0921\u093c\u093e \u092b\u0930\u094d\u0915 \u0939\u0948\u0964 Ember \u0915\u0940 \u0932\u093e\u0917\u0924 0.14 \u0921\u0949\u0932\u0930 \u0939\u0948, \u091c\u092c\u0915\u093f Muse Spark 1.3 \u0915\u0940 \u0932\u093e\u0917\u0924 2.39 \u0921\u0949\u0932\u0930 \u0939\u0948\u0964 Spark \u092c\u0921\u093c\u0947 \u0915\u093e\u092e\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0939\u0948, Ember \u0930\u094b\u091c \u0926\u094b\u0939\u0930\u093e\u090f \u091c\u093e\u0928\u0947 \u0935\u093e\u0932\u0947 \u0915\u093e\u092e\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0939\u0948\u0964 Wonder \u092f\u094b\u091c\u0928\u093e \u092c\u0928\u093e\u0924\u093e \u0939\u0948, Ember \u0909\u0938\u0915\u0947 \u091b\u094b\u091f\u0947 \u0939\u093f\u0938\u094d\u0938\u094b\u0902 \u0915\u094b \u092d\u093e\u0930\u0940 \u092e\u093e\u0924\u094d\u0930\u093e \u092e\u0947\u0902 \u092a\u0942\u0930\u093e \u0915\u0930\u0924\u093e \u0939\u0948\u0964 \u0936\u0941\u0930\u0941\u0906\u0924\u0940 partner Box, Cline, Oracle, Cloudflare \u0914\u0930 You.com \u0939\u0948\u0902\u0964<\/p>\n<h2>\u0906\u092e \u092f\u0942\u091c\u0930 \u0915\u0947 \u0932\u093f\u090f \u0907\u0938\u0915\u093e \u092e\u0924\u0932\u092c \u0915\u094d\u092f\u093e \u0939\u0948<\/h2>\n<p>\u0906\u092e \u092f\u0942\u091c\u0930 \u0915\u0947 \u0932\u093f\u090f \u0907\u0938\u0915\u093e \u092e\u0924\u0932\u092c \u092f\u0939 \u0939\u0948 \u0915\u093f AI agent \u0935\u093e\u0932\u0947 \u0910\u092a \u0914\u0930 tool \u0905\u092c \u0938\u0938\u094d\u0924\u0947 \u0914\u0930 \u0924\u0947\u091c \u0939\u094b \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964 \u091c\u092c coding agent, document \u092a\u0922\u093c\u0928\u0947 \u0935\u093e\u0932\u0947 tool \u092f\u093e \u0915\u0938\u094d\u091f\u092e\u0930 \u0938\u092a\u094b\u0930\u094d\u091f \u0935\u093e\u0932\u0947 agent \u0915\u094b \u091a\u0932\u093e\u0928\u0947 \u0915\u0940 \u0932\u093e\u0917\u0924 \u0915\u092e \u0939\u094b\u0924\u0940 \u0939\u0948, \u0924\u094b \u0915\u0902\u092a\u0928\u093f\u092f\u093e\u0902 \u0909\u0928 \u0938\u0941\u0935\u093f\u0927\u093e\u0913\u0902 \u0915\u094b \u091c\u094d\u092f\u093e\u0926\u093e \u0932\u094b\u0917\u094b\u0902 \u0924\u0915 \u092a\u0939\u0941\u0902\u091a\u093e \u0938\u0915\u0924\u0940 \u0939\u0948\u0902\u0964 <a href=\"https:\/\/akshaymaurya.in\/blog\/cursor-voice-chat-coding-agent-hindi\/\">Cursor<\/a> \u091c\u0948\u0938\u0947 coding agent tool \u092e\u0947\u0902 \u091b\u094b\u091f\u0947 coding \u0915\u093e\u092e, \u092b\u093e\u0907\u0932 \u0916\u094b\u091c\u0928\u093e, \u0915\u094b\u0921 \u0938\u092e\u091d\u0928\u093e \u0914\u0930 \u092c\u093e\u0930 \u092c\u093e\u0930 \u0939\u094b\u0928\u0947 \u0935\u093e\u0932\u0947 \u092c\u0926\u0932\u093e\u0935 \u091c\u0948\u0938\u0947 \u0915\u093e\u092e Ember \u091c\u0948\u0938\u0947 \u0938\u0938\u094d\u0924\u0947 model \u0938\u0947 \u0939\u094b \u0938\u0915\u0924\u0947 \u0939\u0948\u0902, \u091c\u092c\u0915\u093f \u092c\u0921\u093c\u0940 \u092f\u094b\u091c\u0928\u093e \u0914\u0930 \u091c\u091f\u093f\u0932 \u0921\u093f\u091c\u093e\u0907\u0928 \u0915\u0947 \u0932\u093f\u090f \u092c\u0921\u093c\u093e model \u0907\u0938\u094d\u0924\u0947\u092e\u093e\u0932 \u0939\u094b\u0917\u093e\u0964 \u092f\u0939 \u0939\u0930 \u0938\u0935\u093e\u0932 \u0915\u093e \u091c\u0935\u093e\u092c \u0926\u0947\u0928\u0947 \u0935\u093e\u0932\u093e \u091c\u094d\u091e\u093e\u0928 \u0935\u093e\u0932\u093e model \u0928\u0939\u0940\u0902 \u0939\u0948\u0964 \u092a\u0930 \u091b\u094b\u091f\u0947 \u091b\u094b\u091f\u0947 \u0915\u093e\u092e \u0915\u0930\u0928\u0947 \u0935\u093e\u0932\u0947 \u0910\u092a Ember \u0915\u0940 \u0935\u091c\u0939 \u0938\u0947 \u0924\u0947\u091c \u0914\u0930 \u0938\u0938\u094d\u0924\u0947 \u0939\u094b \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/p>\n<h2>\u0905\u0915\u094d\u0938\u0930 \u092a\u0942\u091b\u0947 \u091c\u093e\u0928\u0947 \u0935\u093e\u0932\u0947 \u0938\u0935\u093e\u0932<\/h2>\n<h3>Muse Ember \u0915\u094d\u092f\u093e \u0939\u0948<\/h3>\n<p>Muse Ember Meta \u0915\u093e \u0938\u092c\u0938\u0947 \u091b\u094b\u091f\u093e \u0914\u0930 \u0938\u0938\u094d\u0924\u093e AI model \u0939\u0948, \u091c\u094b agent \u0915\u0947 \u0930\u094b\u091c \u0926\u094b\u0939\u0930\u093e\u090f \u091c\u093e\u0928\u0947 \u0935\u093e\u0932\u0947 \u0915\u093e\u092e\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u092c\u0928\u093e \u0939\u0948\u0964<\/p>\n<h3>Muse Ember \u0915\u0940 \u0915\u0940\u092e\u0924 \u0915\u093f\u0924\u0928\u0940 \u0939\u0948<\/h3>\n<p>\u0907\u0938\u0915\u0940 \u0915\u0940\u092e\u0924 0.10 \u0921\u0949\u0932\u0930 \u092a\u094d\u0930\u0924\u093f million input token, 0.004 \u0921\u0949\u0932\u0930 \u092a\u094d\u0930\u0924\u093f million cached input token \u0914\u0930 0.50 \u0921\u0949\u0932\u0930 \u092a\u094d\u0930\u0924\u093f million output token \u0939\u0948\u0964 \u092a\u094d\u0930\u0924\u093f task \u092f\u0939 Haiku 5.5 \u0938\u0947 \u0932\u0917\u092d\u0917 \u090f\u0915 \u0924\u093f\u0939\u093e\u0908 \u0932\u093e\u0917\u0924 \u092a\u0930 \u092e\u093f\u0932\u0924\u093e \u0939\u0948\u0964<\/p>\n<h3>Muse Ember \u0915\u0939\u093e\u0902 \u0909\u092a\u0932\u092c\u094d\u0927 \u0939\u0948<\/h3>\n<p>\u092f\u0939 Meta Model API, Muse Code \u092e\u0947\u0902 muse-ember-1.0 \u0915\u0947 \u0928\u093e\u092e \u0938\u0947, Google Cloud \u0914\u0930 Oracle Cloud \u092a\u0930 \u0909\u092a\u0932\u092c\u094d\u0927 \u0939\u0948\u0964<\/p>\n<h3>\u0915\u094d\u092f\u093e Muse Ember open weight model \u0939\u0948<\/h3>\n<p>\u0928\u0939\u0940\u0902, \u092f\u0939 closed model \u0939\u0948\u0964 Meta \u0928\u0947 parameter count \u0928\u0939\u0940\u0902 \u092c\u0924\u093e\u092f\u093e \u0914\u0930 weight release \u0928\u0939\u0940\u0902 \u0915\u093f\u090f\u0964 \u0907\u0938\u0947 download \u0928\u0939\u0940\u0902 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e\u0964<\/p>\n<h3>Muse Ember \u0915\u0940 \u0938\u092c\u0938\u0947 \u092c\u0921\u093c\u0940 \u0915\u092e\u091c\u094b\u0930\u0940 \u0915\u094d\u092f\u093e \u0939\u0948<\/h3>\n<p>\u0938\u093e\u092e\u093e\u0928\u094d\u092f \u091c\u094d\u091e\u093e\u0928\u0964 AA-Omniscience \u092e\u0947\u0902 accuracy 21.1 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u0930\u0939\u0940, \u0914\u0930 \u092f\u0939 trivia \u0938\u0935\u093e\u0932\u094b\u0902 \u0938\u0947 64 \u092a\u094d\u0930\u0924\u093f\u0936\u0924 \u092e\u093e\u092e\u0932\u094b\u0902 \u092e\u0947\u0902 \u092e\u0928\u093e \u0915\u0930 \u0926\u0947\u0924\u093e \u0939\u0948\u0964<\/p>\n<h3>\u0915\u094d\u092f\u093e Muse Ember \u0938\u0941\u0930\u0915\u094d\u0937\u093f\u0924 \u0939\u0948<\/h3>\n<p>Meta \u0928\u0947 \u0907\u0938\u0947 Superintelligence Scaling Framework \u0915\u0947 \u0924\u0939\u0924 \u091c\u093e\u0902\u091a\u093e \u0914\u0930 \u092f\u0939 high risk \u0938\u0940\u092e\u093e \u0938\u0947 \u0928\u0940\u091a\u0947 \u092a\u093e\u092f\u093e \u0917\u092f\u093e\u0964<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Meta \u0928\u0947 9 \u0928\u0935\u0902\u092c\u0930 2026 \u0915\u094b \u0905\u092a\u0928\u093e \u0928\u092f\u093e AI model Muse Ember \u092a\u0947\u0936 \u0915\u093f\u092f\u093e \u0939\u0948\u0964 \u0915\u0902\u092a\u0928\u0940 \u0907\u0938\u0947 \u0905\u092a\u0928\u093e \u0938\u092c\u0938\u0947 \u091b\u094b\u091f\u093e \u0914\u0930 \u0938\u092c\u0938\u0947 \u0915\u093f\u092b\u093e\u092f\u0924\u0940 model \u092c\u0924\u093e \u0930\u0939\u0940 \u0939\u0948\u0964 \u092f\u0939 \u0909\u0928 \u0915\u093e\u092e\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u092c\u0928\u093e \u0939\u0948 \u091c\u094b AI agent \u0926\u093f\u0928 \u092d\u0930 \u092c\u093e\u0930 \u092c\u093e\u0930 \u0915\u0930\u0924\u0947 \u0939\u0948\u0902, \u091c\u0948\u0938\u0947 tool call \u0915\u0930\u0928\u093e, coding \u0915\u0947 \u091b\u094b\u091f\u0947 \u0939\u093f\u0938\u094d\u0938\u0947 \u092a\u0942\u0930\u0947 \u0915\u0930\u0928\u093e, \u0915\u093e\u092e \u0915\u094b 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