Companies & models
Dynamics of the Moon's Dark Side Kimi series models and products: Open-source K series models, tracking of long context technology and product evolution.
Kimi K3.1 Pro release has sparked controversy, its benchmark tests surpassing GPT-6 Astra on Artificial Analysis but slightly underperforming on Terminal-Bench Science and ProgramBench. The model release is accompanied by suspected paid promotion, and its pre-training effectiveness is criticized as not meeting expectations.
Dou Bao has officially integrated multiple third-party models such as Kimi 3.1 Pro, GLM 5.3, and DeepSeek V4.1 Flash, and has launched a limited-time special offer plan. Users can select the corresponding model according to their actual work needs to complete tasks.
The Dark Side of the Moon releases Kimi Hosted Agents, hosting intelligent agents, providing the Harness for Agent operation as a cloud service, allowing enterprises to obtain a 7×24 hour hosted environment without needing to set up and maintain it themselves, supporting long-range task execution and multi-agent collaboration.
Ascend based on vLLM Ascend and SGLang synchronously implements 0 Day inference adaptation for Kimi K3.1 Pro, supporting the deployment of 2.8 trillion parameter models on Atlas 800 A3, 900 A3 SuperPod, and 950 SuperNode series, with native support for visual understanding and a million token context window.
Unemployment Labs, by analyzing the random number initialization layout in public model weights, discovered DeepSeek-V4-Flash, DeepSeek-V4-Pro, Kimi K3.
Why it matters: By reversing the random number layout in the model weights to train the hardware, it provides a reproducible technical evidence path for export control disputes.
As promised on October 24, the 2.8 trillion parameter Kimi K3.1 Pro model weights have been opened on Hugging Face.
Why it matters: The original text provides the Agent Arena rankings and changes in individual indicators after the open weights, which can be compared with the previous generation K3 to see the improvement in agent capabilities.
vLLM BlogFeatured7575vLLM announces Day-0 support for the open-sourced Kimi K3.1 Pro on NVIDIA, AMD, Google TPU, and Alibaba's Zhenwu PPU, a 2.8T parameter (104B activation) multimodal MoE model with 1M context tokens.
Why it matters: The vLLM team details the engineering trade-offs for Day-0 adaptation of Kimi K3.1 Pro, including specific numbers for sparse attention, KV cache packing, and DCP.
Simon WillisonFeatured8282Kimi K3.1 Pro goes live with Kimi API today, weights not yet open, Moonshot promises to release complete model weights by November 4th, 2026. Pricing is $2.00/100 million tokens for input, $10/100 million tokens for output, the same as GPT-6.1 Sol, half of Claude Opus 5.5, also provides a Highspeed version that is 2-3 times faster and doubles the price.
The DecoderFeatured8585Why it matters: The article uses third-party indices and multiple benchmarks to present the specific extent to which the gap between open-source weight models and closed-source cutting-edge models has narrowed.
