MoonshotAI/Kimi-K3 resource

Health v2 · maintenance only

Flags: no_releases young no_license

Adoption not part of the score

8632 stars · 700 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model from Moonshot AI, built on Kimi Delta Attention and Attention Residuals with a 1M-token context window. The repository hosts model weights, license, and technical report for the first open 3T-class frontier model.

Use cases

• run a frontier open-weight LLM locally
• long-horizon autonomous coding agent
• deep research with visualizations
• multimodal reasoning over long documents
• agentic knowledge work and tool orchestration

When to choose

• you need an open-weight frontier model with 1M-token context
• you want native multimodal agentic capabilities you can self-host
• you need long-horizon coding or research automation

When to avoid

• you lack large-scale GPU infrastructure for a 2.8T-parameter MoE model
• you need a permissively licensed model (custom Kimi K3 license)
• you only need a small or lightweight model

Facets

learning-resource · maturity active

llm-inference machine-learning agent-framework rag large-language-models artificial-intelligence deep-learning python self-hosted open-weights multimodal mixture-of-experts long-context frontier-model moonshot-ai kimi ai-agents gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MoonshotAI/Kimi-K3")