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Free Kimi API

Moonshot's Kimi K2 models, served free via Cloudflare Workers AI and NVIDIA NIM.

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 Cloudflare Workers AI, NVIDIA NIM — reachable through one OpenAI-compatible key, with automatic failover when a provider hits its rate limit.

Free Kimi models (3)

ModelProviderContextFree limitsCapabilities
@cf/moonshotai/kimi-k2.6Cloudflare Workers AI262K~10-20Mtools
@cf/moonshotai/kimi-k2.7-codeCloudflare Workers AI262K~10-20Mtools, vision
moonshotai/kimi-k2.6NVIDIA NIM131K40 rpmtools

How to use Kimi for free

  1. Install FreeLLMAPI — the open-source router (GitHub). It runs locally and keeps your keys on your machine.
  2. Add a free key for Cloudflare Workers AI (or any listed provider) on the Keys page — no credit card required.
  3. 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="@cf/moonshotai/kimi-k2.6",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
Use every one of these through one key. FreeLLMAPI is an open-source, self-hosted router that puts all these free tiers behind a single OpenAI-compatible endpoint and fails over when one is rate-limited. Browse the catalog or go live.

FAQ

Is the Kimi API really free?

Yes — these Kimi models run on genuine provider free tiers (served free by Cloudflare Workers AI, NVIDIA NIM). 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.

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