8 releases covered on ThursdAI · kimi.ai ↗
Moonshot AI open-sources Kimi K2.7 Code for agentic coding
Moonshot AI open-sourced Kimi K2.7 Code, a trillion-parameter MoE coding model with benchmark jumps over K2.6 and fewer reasoning tokens. On the show it landed as the second half of the open-source coding wave beside GLM-5.2.
Kimi K2.6: 1T MoE open-source SOTA on SWE-Bench Pro
Moonshot AI released Kimi K2.6, a 1-trillion-parameter MoE with 32B active parameters, 384 experts, MLA attention, and a 256K context window under a modified MIT license. It claims open-source state of the art on SWE-Bench Pro at 58.6, and Wolfram called it the best open-source model he has ever tested on his private wolf-bench.
Moonshot AI releases Kimi Code coding agent
Alongside Kimi K2.5, Moonshot AI shipped Kimi Code, a coding tool that pairs with its new flagship model's strong agentic coding abilities. The code is available on GitHub with an announcement page at kimi.ai/code.
Moonshot AI releases Kimi K2.5, the new open-source king
Moonshot AI's Kimi K2.5 takes the open-source crown, becoming the most-used model on OpenRouter and topping open-source leaderboards. The panel highlighted its strong agentic coding performance and tool use.
Kimi K2: the Chinese open model that earned mainstream respect
Moonshot AI's Kimi K2 dropped in July and earned serious mainstream recognition, marking peak Chinese-lab dominance of open source. It was named in the show's TL;DR as one of the defining open-weights releases of 2025.
Moonshot AI releases Kimi K2 Thinking, an open 1T-param reasoning MoE
Moonshot AI released Kimi K2 Thinking, an open-source 1-trillion-parameter mixture-of-experts reasoning agent with 256K context and large-scale tool-calling capacity. The panel treated it as the open-source centerpiece of the week, focusing on its reasoning quality and coding utility rather than just benchmark screenshots, and as a sign open models keep closing the usability gap with frontier closed models.
Kimi Linear: 48B open model with linear attention and 1M context
Moonshot AI released Kimi Linear, a 48B parameter (A3B active) instruct model that uses linear attention to reach a 1M token context window. It is an open-weights bet on efficient long-context architectures from the Kimi team.
Moonshot drops Kimi-VL and Kimi-VL-Thinking, tiny A3B open vision models
Moonshot AI released Kimi-VL and Kimi-VL-Thinking, compact vision-language models with only ~3B active parameters (A3B MoE). The thinking variant adds reasoning to a tiny VLM, and both are available openly on Hugging Face.
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