Kimi K3.1 Pro

Kimi K3.1 Pro is Moonshot AI's most capable 3T-class open-weight model, post-trained from Kimi K3 with substantially larger reinforcement-learning compute. It keeps the K3 architecture — 2.8 trillion total parameters across 93 layers, 16 of 896 experts active per token for roughly 104 billion active parameters, Kimi Delta Attention paired with gated DSA, and a MoonViT-V2 vision encoder — with MXFP4 weights and MXFP8 activations from quantization-aware training. Against K3 it lifts Kimi Code Bench 3.0 Long-horizon from 55.95 to 61.2 and cuts claim-level hallucination on Kimi Hallu Bench Hard from 23.4% to 8.3%, and it scores 65.7 on Terminal-Bench 4.0, 92.1 on BrowseComp, 94.2 on GPQA-Diamond and 79.6 on OSWorld V2.1. Thinking is always on, with selectable low, high, or max reasoning effort, making it suited to long-horizon agent runs, repository-scale engineering, financial research, and document-heavy multimodal work.

Features

On-demand Deployments

On-demand deployments let you run Kimi K3.1 Pro on dedicated GPUs with Sciforium's high-performance serving stack, with high reliability and no rate limits.

Docs

Stronger Agentic Coding

Large-scale joint RL post-training lifts K3's long-horizon coding score from 55.95 to 61.2 and reaches 65.7 on Terminal-Bench 4.0, while cutting hallucination on Moonshot's hardest internal test by nearly two-thirds.

Docs
DeepSeek V4 Flash
DeepSeek V4 Pro
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash 1017
Gemma 4 31B
GLM 5.2
GLM 5.3
GLM 5.3 Flash
Kimi K2.6
Kimi K2.7 Code
Kimi K3
MiniMax H3
MiniMax M3
MiniMax M3.1 Flash
Muse Spark Open
Nemotron 3.5 Super VL
Qwen3.5
Qwen3.8
DeepSeek V4 Flash
DeepSeek V4 Pro
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash 1017
Gemma 4 31B
GLM 5.2
GLM 5.3
GLM 5.3 Flash
Kimi K2.6
Kimi K2.7 Code
Kimi K3
MiniMax H3
MiniMax M3
MiniMax M3.1 Flash
Muse Spark Open
Nemotron 3.5 Super VL
Qwen3.5
Qwen3.8