Kimi K3
Kimi — 2800B params, 104B active — hosted API model. Dataset updated 2026-09-03.
You don't run Kimi K3 locally
At 2800B parameters (104B active per token), a Q4-class build of Kimi K3 would need roughly 1,680 GB — beyond any consumer machine (0.6 GB per billion parameters, our standard Q4 rule). Access is through the hosted API.
Jul 2026 open-weight multimodal agentic MoE from Moonshot (weights on HuggingFace). Official checkpoint is far beyond any consumer machine; ollama run kimi-k3:cloud streams it from Ollama Cloud rather than running locally.
Strong local alternatives
More Kimi models
Frequently asked questions
Can I run Kimi K3 locally?
Not realistically. Kimi K3 is a 2800B-parameter model (104B active); a Q4-class build would need roughly 1,680 GB — beyond any consumer machine. The hosted API or a smaller open model is the practical path.
How do I access Kimi K3?
Through the vendor-hosted API. See the official source linked on this page.
What is the best local alternative to Kimi K3?
Qwen3 235B A22B is the strongest local model we track (235B). It runs on a single high-memory Mac or GPU; see its page for exact hardware.
Cite this page
ModelFit: Kimi K3 — specs, memory math and hardware verdicts. https://modelfit.io/models/kimi-k3/ (dataset updated 2026-09-03, CC BY 4.0).