{"id":3899,"date":"2026-01-28T11:55:00","date_gmt":"2026-01-28T04:55:00","guid":{"rendered":"https:\/\/ainextopia.com\/?p=3899"},"modified":"2026-01-28T11:31:41","modified_gmt":"2026-01-28T04:31:41","slug":"moonshot-ai-%e0%b9%80%e0%b8%9b%e0%b8%b4%e0%b8%94%e0%b8%95%e0%b8%b1%e0%b8%a7-kimi-k2-5-%e0%b9%82%e0%b8%a1%e0%b9%80%e0%b8%94%e0%b8%a5-ai-%e0%b9%81%e0%b8%9a%e0%b8%9a-open-source-%e0%b8%82%e0%b8%99","status":"publish","type":"post","link":"https:\/\/ainextopia.com\/?p=3899","title":{"rendered":"Moonshot AI \u0e40\u0e1b\u0e34\u0e14\u0e15\u0e31\u0e27 Kimi K2.5 \u0e42\u0e21\u0e40\u0e14\u0e25 AI \u0e41\u0e1a\u0e1a Open Source \u0e02\u0e19\u0e32\u0e14 1 \u0e25\u0e49\u0e32\u0e19\u0e25\u0e49\u0e32\u0e19\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c"},"content":{"rendered":"\n

\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e08\u0e32\u0e01 techtalkthai<\/a><\/p>\n\n\n\n

Moonshot AI \u0e40\u0e1b\u0e34\u0e14\u0e15\u0e31\u0e27 Kimi K2.5 \u0e42\u0e21\u0e40\u0e14\u0e25 AI \u0e41\u0e1a\u0e1a Open Source \u0e17\u0e35\u0e48\u0e21\u0e35\u0e02\u0e19\u0e32\u0e14 1 \u0e25\u0e49\u0e32\u0e19\u0e25\u0e49\u0e32\u0e19 parameters \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e17\u0e35\u0e48\u0e40\u0e2b\u0e19\u0e37\u0e2d\u0e01\u0e27\u0e48\u0e32 GPT-5.2 \u0e43\u0e19\u0e2b\u0e25\u0e32\u0e22\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Moonshot AI \u0e1a\u0e23\u0e34\u0e29\u0e31\u0e17 AI \u0e2a\u0e31\u0e0d\u0e0a\u0e32\u0e15\u0e34\u0e08\u0e35\u0e19\u0e40\u0e1b\u0e34\u0e14\u0e15\u0e31\u0e27\u00a0Kimi K2.5<\/a>\u00a0\u0e42\u0e21\u0e40\u0e14\u0e25 AI \u0e41\u0e1a\u0e1a Open Source \u0e25\u0e48\u0e32\u0e2a\u0e38\u0e14 \u0e42\u0e14\u0e22\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e34\u0e14\u0e15\u0e31\u0e27\u0e19\u0e35\u0e49\u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e01\u0e31\u0e1a\u0e02\u0e48\u0e32\u0e27\u0e17\u0e35\u0e48\u0e1a\u0e23\u0e34\u0e29\u0e31\u0e17\u0e01\u0e33\u0e25\u0e31\u0e07\u0e23\u0e30\u0e14\u0e21\u0e17\u0e38\u0e19\u0e43\u0e19\u0e21\u0e39\u0e25\u0e04\u0e48\u0e32 4.8 \u0e1e\u0e31\u0e19\u0e25\u0e49\u0e32\u0e19\u0e14\u0e2d\u0e25\u0e25\u0e32\u0e23\u0e4c\u0e2a\u0e2b\u0e23\u0e31\u0e10 \u0e2b\u0e25\u0e31\u0e07\u0e08\u0e32\u0e01\u0e17\u0e35\u0e48\u0e40\u0e1e\u0e34\u0e48\u0e07\u0e1b\u0e34\u0e14\u0e14\u0e35\u0e25\u0e23\u0e30\u0e14\u0e21\u0e17\u0e38\u0e19 500 \u0e25\u0e49\u0e32\u0e19\u0e14\u0e2d\u0e25\u0e25\u0e32\u0e23\u0e4c\u0e2a\u0e2b\u0e23\u0e31\u0e10\u0e44\u0e1b\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e40\u0e14\u0e37\u0e2d\u0e19\u0e18\u0e31\u0e19\u0e27\u0e32\u0e04\u0e21\u0e17\u0e35\u0e48\u0e1c\u0e48\u0e32\u0e19\u0e21\u0e32<\/p>\n\n\n\n

\u0e42\u0e14\u0e22 Kimi K2.5 \u0e1e\u0e31\u0e12\u0e19\u0e32\u0e15\u0e48\u0e2d\u0e22\u0e2d\u0e14\u0e21\u0e32\u0e08\u0e32\u0e01\u0e42\u0e21\u0e40\u0e14\u0e25 Kimi K2-Base \u0e17\u0e35\u0e48\u0e40\u0e1b\u0e34\u0e14\u0e15\u0e31\u0e27\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e15\u0e49\u0e19\u0e40\u0e14\u0e37\u0e2d\u0e19\u0e1e\u0e24\u0e28\u0e08\u0e34\u0e01\u0e32\u0e22\u0e19 \u0e0b\u0e36\u0e48\u0e07\u0e43\u0e0a\u0e49 algorithm \u0e17\u0e35\u0e48\u0e40\u0e23\u0e35\u0e22\u0e01\u0e27\u0e48\u0e32 Muon \u0e43\u0e19\u0e01\u0e32\u0e23\u0e40\u0e23\u0e48\u0e07\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27\u0e01\u0e32\u0e23 training \u0e42\u0e14\u0e22 Muon \u0e0a\u0e48\u0e27\u0e22\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e40\u0e23\u0e48\u0e07 hidden layers \u0e02\u0e2d\u0e07 LLM \u0e17\u0e35\u0e48\u0e17\u0e33\u0e2b\u0e19\u0e49\u0e32\u0e17\u0e35\u0e48\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e2b\u0e25\u0e31\u0e01<\/p>\n\n\n\n

Kimi K2.5 \u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21\u0e41\u0e1a\u0e1a mixture-of-experts \u0e02\u0e19\u0e32\u0e14 1 \u0e25\u0e49\u0e32\u0e19\u0e25\u0e49\u0e32\u0e19 parameters \u0e42\u0e14\u0e22 parameters \u0e40\u0e2b\u0e25\u0e48\u0e32\u0e19\u0e35\u0e49\u0e16\u0e39\u0e01\u0e08\u0e31\u0e14\u0e41\u0e1a\u0e48\u0e07\u0e40\u0e1b\u0e47\u0e19 neural networks \u0e2b\u0e25\u0e32\u0e22\u0e0a\u0e38\u0e14\u0e17\u0e35\u0e48\u0e41\u0e15\u0e48\u0e25\u0e30\u0e0a\u0e38\u0e14\u0e16\u0e39\u0e01 optimize \u0e21\u0e32\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e41\u0e15\u0e01\u0e15\u0e48\u0e32\u0e07\u0e01\u0e31\u0e19 \u0e40\u0e21\u0e37\u0e48\u0e2d\u0e42\u0e21\u0e40\u0e14\u0e25\u0e44\u0e14\u0e49\u0e23\u0e31\u0e1a prompt \u0e08\u0e30\u0e44\u0e21\u0e48\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19 parameters \u0e17\u0e31\u0e49\u0e07\u0e2b\u0e21\u0e14 \u0e41\u0e15\u0e48\u0e08\u0e30\u0e40\u0e25\u0e37\u0e2d\u0e01\u0e40\u0e1b\u0e34\u0e14\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e40\u0e09\u0e1e\u0e32\u0e30 neural network \u0e17\u0e35\u0e48\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e21\u0e17\u0e35\u0e48\u0e2a\u0e38\u0e14\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e15\u0e2d\u0e1a\u0e04\u0e33\u0e16\u0e32\u0e21\u0e19\u0e31\u0e49\u0e19 <\/p>\n\n\n\n

\u0e17\u0e33\u0e43\u0e2b\u0e49\u0e1b\u0e23\u0e30\u0e2b\u0e22\u0e31\u0e14\u0e17\u0e23\u0e31\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e2e\u0e32\u0e23\u0e4c\u0e14\u0e41\u0e27\u0e23\u0e4c\u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e32\u0e01 \u0e42\u0e14\u0e22\u0e41\u0e15\u0e48\u0e25\u0e30 neural network \u0e21\u0e35\u0e02\u0e19\u0e32\u0e14\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 32,000 \u0e25\u0e49\u0e32\u0e19 parameters \u0e41\u0e25\u0e30\u0e21\u0e35 vision encoder \u0e02\u0e19\u0e32\u0e14 400 \u0e25\u0e49\u0e32\u0e19 parameters \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e41\u0e1b\u0e25\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 multimodal \u0e40\u0e1b\u0e47\u0e19 embeddings<\/p>\n\n\n\n

Moonshot \u0e44\u0e14\u0e49 train \u0e42\u0e21\u0e40\u0e14\u0e25\u0e14\u0e49\u0e27\u0e22\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e02\u0e19\u0e32\u0e14 15 \u0e25\u0e49\u0e32\u0e19\u0e25\u0e49\u0e32\u0e19 tokens \u0e0b\u0e36\u0e48\u0e07\u0e23\u0e27\u0e21\u0e17\u0e31\u0e49\u0e07\u0e02\u0e49\u0e2d\u0e04\u0e27\u0e32\u0e21\u0e41\u0e25\u0e30\u0e44\u0e1f\u0e25\u0e4c multimodal \u0e17\u0e33\u0e43\u0e2b\u0e49 Kimi K2.5 \u0e21\u0e35\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e19\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 multimodal \u0e40\u0e0a\u0e48\u0e19 charts \u0e44\u0e14\u0e49\u0e14\u0e35\u0e01\u0e27\u0e48\u0e32\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e0a\u0e31\u0e19\u0e01\u0e48\u0e2d\u0e19\u0e2b\u0e19\u0e49\u0e32<\/p>\n\n\n\n

\u0e19\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e19\u0e35\u0e49\u0e42\u0e21\u0e40\u0e14\u0e25\u0e22\u0e31\u0e07\u0e43\u0e0a\u0e49\u0e23\u0e30\u0e1a\u0e1a attention \u0e41\u0e1a\u0e1a parallel \u0e17\u0e35\u0e48\u0e0a\u0e48\u0e27\u0e22\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27\u0e43\u0e19\u0e01\u0e32\u0e23\u0e04\u0e49\u0e19\u0e2b\u0e32\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e17\u0e35\u0e48\u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e02\u0e49\u0e2d\u0e07<\/p>\n\n\n\n

Kimi K2.5 \u0e21\u0e35\u0e17\u0e31\u0e49\u0e07\u0e42\u0e2b\u0e21\u0e14\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19\u0e41\u0e25\u0e30\u0e42\u0e2b\u0e21\u0e14 Thinking \u0e17\u0e35\u0e48\u0e43\u0e2b\u0e49\u0e1c\u0e25\u0e25\u0e31\u0e1e\u0e18\u0e4c\u0e04\u0e38\u0e13\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e01\u0e27\u0e48\u0e32 \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16 K2.5 Agent Swarm \u0e17\u0e35\u0e48\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e41\u0e1a\u0e48\u0e07\u0e07\u0e32\u0e19\u0e0b\u0e31\u0e1a\u0e0b\u0e49\u0e2d\u0e19\u0e40\u0e1b\u0e47\u0e19\u0e02\u0e31\u0e49\u0e19\u0e15\u0e2d\u0e19\u0e22\u0e48\u0e2d\u0e22\u0e46 \u0e41\u0e25\u0e30\u0e21\u0e2d\u0e1a\u0e2b\u0e21\u0e32\u0e22\u0e43\u0e2b\u0e49 AI agent \u0e41\u0e22\u0e01\u0e01\u0e31\u0e19\u0e17\u0e33\u0e44\u0e14\u0e49\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 100 agents \u0e15\u0e48\u0e2d prompt<\/p>\n\n\n\n

Moonshot \u0e44\u0e14\u0e49\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a Kimi K2.5 \u0e01\u0e31\u0e1a GPT-5.2, Claude 4.5 Opus \u0e41\u0e25\u0e30\u0e42\u0e21\u0e40\u0e14\u0e25 reasoning \u0e2d\u0e37\u0e48\u0e19\u0e46 \u0e43\u0e19\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e01\u0e27\u0e48\u0e32 20 \u0e23\u0e32\u0e22\u0e01\u0e32\u0e23 \u0e42\u0e14\u0e22\u0e1a\u0e23\u0e34\u0e29\u0e31\u0e17\u0e23\u0e30\u0e1a\u0e38\u0e27\u0e48\u0e32\u0e42\u0e21\u0e40\u0e14\u0e25\u0e02\u0e2d\u0e07\u0e15\u0e19\u0e44\u0e14\u0e49\u0e04\u0e30\u0e41\u0e19\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e43\u0e19 HLE-Full \u0e0b\u0e36\u0e48\u0e07\u0e40\u0e1b\u0e47\u0e19\u0e2b\u0e19\u0e36\u0e48\u0e07\u0e43\u0e19\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a LLM \u0e17\u0e35\u0e48\u0e22\u0e32\u0e01\u0e17\u0e35\u0e48\u0e2a\u0e38\u0e14\u0e43\u0e19\u0e2d\u0e38\u0e15\u0e2a\u0e32\u0e2b\u0e01\u0e23\u0e23\u0e21<\/p>\n\n\n\n

\u0e1b\u0e23\u0e30\u0e01\u0e2d\u0e1a\u0e14\u0e49\u0e27\u0e22\u0e04\u0e33\u0e16\u0e32\u0e21 2,500 \u0e02\u0e49\u0e2d\u0e04\u0e23\u0e2d\u0e1a\u0e04\u0e25\u0e38\u0e21\u0e2a\u0e32\u0e02\u0e32\u0e27\u0e34\u0e0a\u0e32\u0e15\u0e48\u0e32\u0e07\u0e46 \u0e40\u0e0a\u0e48\u0e19 \u0e04\u0e13\u0e34\u0e15\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c\u0e41\u0e25\u0e30\u0e1f\u0e34\u0e2a\u0e34\u0e01\u0e2a\u0e4c \u0e43\u0e19\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e2d\u0e37\u0e48\u0e19\u0e46 \u0e2a\u0e48\u0e27\u0e19\u0e43\u0e2b\u0e0d\u0e48 Kimi K2.5 \u0e21\u0e35\u0e04\u0e30\u0e41\u0e19\u0e19\u0e43\u0e01\u0e25\u0e49\u0e40\u0e04\u0e35\u0e22\u0e07\u0e01\u0e31\u0e1a LLM \u0e04\u0e39\u0e48\u0e41\u0e02\u0e48\u0e07\u0e41\u0e25\u0e30\u0e40\u0e2d\u0e32\u0e0a\u0e19\u0e30 GPT-5.2 \u0e44\u0e14\u0e49\u0e43\u0e19\u0e2b\u0e25\u0e32\u0e22\u0e23\u0e32\u0e22\u0e01\u0e32\u0e23 \u0e1c\u0e39\u0e49\u0e17\u0e35\u0e48\u0e2a\u0e19\u0e43\u0e08\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e40\u0e02\u0e49\u0e32\u0e16\u0e36\u0e07 Kimi K2.5 \u0e44\u0e14\u0e49\u0e41\u0e25\u0e49\u0e27\u0e1a\u0e19\u00a0Hugging Face<\/a><\/p>\n\n\n\n

\u0e17\u0e35\u0e48\u0e21\u0e32: https:\/\/siliconangle.com\/2026\/01\/27\/moonshot-ai-releases-open-source-kimi-k2-5-model-1t-parameters\/<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

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