Free Kimi API
Moonshot's Kimi models, served free via HuggingFace Router and NavyAI — no Moonshot account needed.
FreeLLMAPI is a free, open-source LLM API that routes across every provider with a real free tier. The Kimi models below are served free by HuggingFace Router, NavyAI — reachable through one OpenAI-compatible key, with automatic failover when a provider hits its rate limit.
Free Kimi models (6)
| Model | Provider | Context | Free limits | Capabilities |
|---|---|---|---|---|
| kimi-k2.7-code | NavyAI | 262K | 20 rpm | tools, vision |
| kimi-k3 | NavyAI | 262K | 20 rpm | tools, vision |
| moonshotai/Kimi-K3 | HuggingFace Router | 262K | $0.10/mo credit | tools |
| moonshotai/Kimi-K2.6 | HuggingFace Router | 262K | ~1-3M | tools |
| moonshotai/Kimi-K2.7-Code | HuggingFace Router | 262K | $0.10/mo credit | tools |
| kimi-k2.6 | NavyAI | 262K | 20 rpm | tools, vision |
How to use Kimi for free
- Install FreeLLMAPI — the open-source router (GitHub). It runs locally and keeps your keys on your machine.
- Add a free key for HuggingFace Router (or any listed provider) on the Keys page — no credit card required.
- Point your OpenAI client at the local endpoint and pick a model:
from openai import OpenAI
# FreeLLMAPI runs locally; grab your unified key + endpoint on the Keys page.
client = OpenAI(base_url="http://localhost:3001/v1", api_key="freellmapi-...")
resp = client.chat.completions.create(
model="moonshotai/Kimi-K2.6",
messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
Frequently asked questions
Is the Kimi API really free?
Yes — these Kimi models run on genuine provider free tiers (served free by HuggingFace Router, NavyAI). Inference costs nothing; you only add a free provider key.
Do I need a credit card?
No. The providers here offer free tiers that work without a card. You add the free key once and FreeLLMAPI routes to it.
How do I call Kimi through FreeLLMAPI?
Install the open-source router, add the provider's free key on the Keys page, then point any OpenAI SDK at your local endpoint — see the code sample above.