NVIDIA NIM Kimi K3

Moonshot AI 2.8T Kimi K3 MoE API via NVIDIA NIM — 1M context, native vision, free endpoint with 40 RPM limit.

Updated 8/29/20263 code examples

About the Model

为什么要选择 Kimi K3？

Kimi K3 是月之暗面（Moonshot AI）推出的 2.8 万亿（2.8T）参数原生多模态 MoE 旗舰大模型（激活参数 104B）。专为长时间长流程（Long-horizon）代码重构、知识工作、工具调用与视觉深度理解量身定制，支持 100 万（1M）Token 原生超长上下文。

核心优势与技术突破

KDA 混合注意力与 104B 激活：融合 Kimi Delta Attention、Attention Residuals 与 Stable LatentMoE 架构，兼备超强推理表现与高吞吐低显存开销。
原生多模态视觉 (MoonViT-V2)：内置 401M 视觉编码器，可精准理解复杂长文档、高分辨率架构图、前端 UI 截图与 CAD 设计图纸。
深度 Agent 与代码工程能力：在 SWE-bench 与复杂多工具编排中处于全球顶尖水准，能够自主理解数万行大型代码仓库并完成自动化测试与 Bug 修复。

How to Access for Free (via NVIDIA NIM)

Why Choose Kimi K3 on NVIDIA NIM?

NVIDIA NIM provides high-throughput, GPU-accelerated serverless endpoints for Moonshot AI's flagship 2.8T MoE model (Kimi K3). Access 104B activated parameters and 1 million tokens of context directly through standard OpenAI-compatible API format.

Core Advantages & Highlights

2.8T MoE with 104B Active Parameters: State-of-the-art reasoning and code generation powered by KDA (Kimi Delta Attention) and NVIDIA DGX Cloud acceleration.
1M Token Context Window: Ingest entire enterprise code repositories, extensive documentation, or complex log bundles without truncation.
Native Multimodal Vision: MoonViT-V2 encoder allows simultaneous visual debugging, UI screenshot analysis, and chart interpretation.

Free Tier & Quota Basis

NVIDIA NIM (build.nvidia.com) provides free hosted preview endpoints for developers with a 40 RPM (requests per minute) rate limit. No credit card is required, and requests within rate limits are free for testing and prototyping.

📖 View Full Guide

Try it in your browser

Pick a model, paste your own free key, and run. Your key is sent once to call the provider and never stored on our servers.

Code Examples

curl https://integrate.api.nvidia.com/v1/chat/completions \
  -H "Authorization: Bearer $NVIDIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshotai/kimi-k3",
    "messages": [
      {"role": "user", "content": "Write a complete WebAssembly SIMD matrix multiplication routine in C++."}
    ],
    "temperature": 0.2,
    "max_tokens": 2048
  }'

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