Moonshot AI 发布 Kimi K3.1 Pro 模型权重

Moonshot AI released the massive 2.8T-parameter Kimi K3.1 Pro weights on Huggingface. On Terminal-Bench, its head-to-head with Claude 5.5 > Trained with 4-bit weights, it also ships at that precision, avoiding the 5.6TB a 16-bit copy would need. > Moonshot traced steadily rising exploit skill to cyber content buried in its general mid-training corpus and RL environments, and removed both before opening the weights. > In Moonshot’s own tests the model scores 65.7% on Terminal-Bench 4.0, near Claude Opus 5.5’s 66.4%, but without tools reaches only 39.4% on HLE-Diamond, against GPT-6 Astra’s 65.8%. > Only 104B of its parameters fire per token, and 69 of its 93 layers use linear attention, which makes a 1M-token context cheaper to process. > Its modified MIT license exempts internal use but makes model-hosting firms earning over $20M a year negotiate, reining in resellers that could undercut the company’s own API.

Releasing the model weights of Kimi K3.1 Pro: https://t.co/tJXcYUeSCj We'll keep advancing open intelligence. https://t.co/BbWCJUYYSQ