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Kimi K2 Instruct 0905: free via FreeLLMAPI

Kimi K2 Instruct 0905: served free by 1 provider, up to 131K context, tool calling. Provider limits, quotas and setup examples on FreeLLMAPI.

HuggingFace Router

moonshotai/Kimi-K2-Instruct-0905
Context window131K tokens
Free budget$0.10/mo shared credit tokens/mo
Rate limitsnot published
Small $0.10/month routed credit warning
HuggingFace Inference Providers grants only ~$0.10/month of routed credit on the free tier (PRO is $2/month). Enough for light experimentation; exhausts quickly. Credits apply only to HF-routed requests.
Monthly included credits run out info
HuggingFace meters Inference Providers in dollars, not tokens: free accounts get $0.10 credited every month. When it is spent every route answers 402 "You have depleted your monthly included credits", as happened during the September 18, 2026 audit. This is a spent-wallet state, not a dead route, and it clears when the monthly grant renews. Rows are kept enabled and the router should treat 402 here as a provider-level cooldown to the start of next month rather than a per-model failure.

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Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free HuggingFace Router key, and moonshotai/Kimi-K2-Instruct-0905 answers on an OpenAI-compatible endpoint at http://localhost:3001/v1. No credit card, no hosted middleman: your prompts and your provider keys never leave your machine.

Install the router (macOS, Linux, WSL)
curl -fsSL https://freellmapi.co/install.sh | bash
Install the router (Windows PowerShell)
iwr -useb https://freellmapi.co/install.ps1 | iex
Call moonshotai/Kimi-K2-Instruct-0905 with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshotai/Kimi-K2-Instruct-0905",
    "messages": [{"role": "user", "content": "Say hi in five words."}]
  }'
The same request in Python (openai)
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3001/v1",
    api_key="freellmapi-your-unified-key",
)

resp = client.chat.completions.create(
    model="moonshotai/Kimi-K2-Instruct-0905",
    messages=[{"role": "user", "content": "Say hi in five words."}],
)
print(resp.choices[0].message.content)

The router answers on /v1/chat/completions and every other OpenAI surface, plus the Anthropic Messages API, so existing clients need only a new base_url. Swap the model id for auto and the router picks the best free model that is still under its limits. Full reference: docs/api.md.