Kimi K3

Kimi K3 is a frontier mixture-of-experts model with 2.8 trillion total parameters, activating 16 of 896 experts — roughly 104 billion parameters — per token, making it the largest open-weight model released to date. It is built on two architectural innovations developed at Moonshot AI: Kimi Delta Attention, a hybrid linear attention mechanism, and Attention Residuals, a drop-in replacement for residual connections that delivers consistent scaling gains. With a 1 million token context, native visual understanding, and an always-on thinking mode, it is particularly strong at navigating large repositories, using tools, and iterating against images, logs, tests, and runtime feedback.

Features

On-demand Deployments

On-demand deployments let you run Kimi K3 on dedicated GPUs with Sciforium's high-performance serving stack, with high reliability and no rate limits.

Docs

Kimi Delta Attention

Hybrid linear attention paired with Attention Residuals sustains a 1M-token context with consistent scaling gains over standard residual stacks.

Docs
DeepSeek V4 Flash
DeepSeek V4 Pro
Gemma 4 31B
GLM 5.2
Kimi K2.6
Kimi K2.7 Code
Kimi K3
MiniMax H3
MiniMax M3
Qwen3.5
Qwen3.8
DeepSeek V4 Flash
DeepSeek V4 Pro
Gemma 4 31B
GLM 5.2
Kimi K2.6
Kimi K2.7 Code
Kimi K3
MiniMax H3
MiniMax M3
Qwen3.5
Qwen3.8