Kimi K3

An open-weight AI model from Moonshot AI with 2.8 trillion parameters, native visual understanding, and a one-million-token context window.

What we have written

Qwen3.8-Max turns open weights into part of the price2026-09-17
DeepSeek V4 Pro shows a market in which higher API prices can accompany a push for dependable, higher-value model work rather than a retreat from broad usage. Beginning in August 2026, DeepSeek raised API prices across products by about 3 to 12 times, according to woshipm. Its V4 Pro cache-hit input
Kimi K3 turns open weights into an operating choice2026-08-29
Kimi K3 makes open weights feel less like a research gesture and more like an operating choice for companies deciding where the model stack should live. Woshipm reported that Moonshot AI released the full model weights on July 27, and Moonshot AI's own materials define Kimi K3 as an open-weight mode
Kimi K3 makes model choice a workflow problem2026-08-28
Kimi K3 turns model choice into a workflow problem because Moonshot AI is pushing raw capability into a form that looks easier to copy and harder to defend. According to woshipm, Moonshot AI released Kimi K3 on July 16, 2026, just before the World Artificial Intelligence Conference in Shanghai. The
Kimi K3 and DeepSeek V4 Flash split local AI into three setups2026-08-10
Kimi K3 has 2.78 trillion parameters and runs on 8.24GB of memory on a CPU with no GPU. DeepSeek V4 Flash wants a DGX Spark or a Mac with 128GB. Running a model locally is not one job any more.

The Chinese reporting these articles are built from. Read in Chinese; the facts are ours to restate, the words are not.