K3Nova
Test Kimi K3 through Kimi Code
This proves local CLI access to a configured hosted model, not local weights.
kimi -m k3-256k -p "Reply only: KIMI_K3_CLIENT_READY"Decision answer
You can run a local workspace that uses Kimi-style workflows, and you can run clients that call a hosted Kimi K3 endpoint. Running the full Kimi K3 model locally is a different problem: it requires cluster-scale accelerator memory and serving infrastructure.
For most people, the practical path is to use Kimi web, Kimi Code, Kimi API, Kimi Claw, or K3Nova first. Consider self-hosting only after a real workload proves that data residency, compliance, or cost justifies the hardware.
Copyable commands
Use these checks to separate a local client from full local model weights.
Start the local Kimi Code web UI
The server binds locally by default and keeps running until you stop it.
kimi web --no-open --port 58628Estimate the weight-memory floor
This quick math shows why full local weights are a cluster problem.
python3 - <<'PY'
params = 2.8e12
for bits in (16, 8, 4):
print(f"{bits}-bit weight floor: {params * bits / 8 / 1e12:.2f} TB")
PYAI handoff prompt and permissions
Copy this prompt into Kimi Code, K3Nova, or another AI agent. Keep approval manual for file writes, shell commands, account actions, and secrets.
Copyable AI prompt
Use this to give the agent the task and safety boundary in one message.
You are my AI agent for this task: decide whether my local Kimi K3 plan means a local client, local workspace, hosted endpoint, rented cluster, or full local weights.
Start by restating the goal and the permissions you need.
Use official docs or the files I provide before making claims.
Give me a direct answer first, then a short table or checklist.
If commands are needed, show exact copyable commands without a shell prompt.
Ask before writing files, running shell commands, deleting or moving data, logging in, spending money, changing account settings, or handling API keys.
Stop and ask me when a step requires secrets, payment, account access, destructive cleanup, or a permission broader than the task.Recommended AI permissions
| Permission | Give AI | Why |
|---|---|---|
| Public specs | Allow official model cards, hardware references, and calculator work. | The agent can estimate scale before spending money. |
| Local system info | Ask before reading local hardware, storage, or process details. | Machine details are private context. |
| Provisioning | Deny cloud rentals, purchases, DNS, deployment, and paid benchmark runs. | Infrastructure spend needs explicit approval. |
| Commands | Ask before shell commands, drivers, downloads, or package installs. | Hardware checks can alter the machine. |
Local meaning table
| Path | Can you do it? | Best for |
|---|---|---|
| Run K3Nova locally | Yes | Workspace testing and UI workflows |
| Run Kimi Code locally | Yes | Terminal and IDE agent work with configured model access |
| Call hosted Kimi K3 from a local app | Yes | Product evaluation without hardware |
| Run full Kimi K3 weights on one workstation | No, not realistically | Use smaller models instead |
| Self-host on a cluster | Possible for capable teams | Compliance and high-scale operations |
Evaluation path
Decide what local means
Local browser workspace, local CLI client, local gateway, and local model weights are separate paths.
Start without weights
Use K3Nova or a Kimi Code client to validate the workflow before buying or renting hardware.
Use hosted K3 for quality checks
Run real prompts against a hosted endpoint first so hardware planning is based on a working use case.
Move to cluster planning only if needed
Self-host only when policy, latency, cost at scale, or data control justifies the operational burden.
Limits to keep visible
Local workspace
A web or CLI workspace can be local even when inference happens through a hosted provider.
Local model
Full local Kimi K3 means downloading official weights, serving them across accelerators, and managing cache, routing, and updates.
Rented cluster
Rented GPU capacity is often the cleanest bridge between hosted testing and buying permanent infrastructure.
FAQ
Can I run Kimi K3 locally on a laptop?
You can run a client or workspace locally, but not the full Kimi K3 model weights.
Is local K3Nova the same as self-hosting Kimi K3?
No. K3Nova can run locally as a workspace while model inference happens elsewhere.
When should I self-host Kimi K3?
Only after hosted tests prove value and your compliance or cost profile requires owning the infrastructure.