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Uncensored — We add no content filter to this model, but like most chat models it declines a blunt request that comes with no context. It writes unrestricted fiction reliably once your system prompt sets up a fiction-writing context, or once the request is framed as a story. Legal and consent duties remain with the customer.Browse every model at this filtering level
moonshot/kimi-k3/chat

Kimi K3 is Moonshot AI's long-context agent model behind an OpenAI-compatible chat call. It reads 1,000,000 tokens, replies up to 1,048,576, with reasoning effort low, high or max, up to 128 tools and image input.

Input $2.70Output $13.50per 1 million tokensCached input $0.30
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Quickstart

Examples use the selected endpoint’s public parameter definitions. Replace the API key and example media, then send the request from your server.

SDKs & integrations
POSThttps://api.spicyapi.ai/v1/chat/completions

API authentication

Keep the API key in the server environment variable SPICY_API_KEY. Use Bearer authentication and Content-Type: application/json for JSON requests.

Authorization: Bearer $SPICY_API_KEY
curl --fail-with-body -sN https://api.spicyapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $SPICY_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
  "model": "moonshot/kimi-k3/chat",
  "messages": [
    {
      "role": "user",
      "content": "Summarise the following release notes into three bullet points."
    }
  ],
  "stream": true
}' \
  | jq --unbuffered -Rrj 'select(startswith("data: ")) | .[6:] | select(. != "[DONE]") | fromjson | if .error then "\n[error] \(.error.message)\n" else (.choices[0].delta.content? // empty) end'

Generated from this model’s input schema — the same one the API validates every request against.

Keep one Idempotency-Key for each logical request. After a network interruption, do not automatically resend with a new key; retain request_id to investigate the accepted request. Idempotency does not replay an earlier chat stream.

Input parameters

Place the model parameters directly in the JSON request body alongside model. This endpoint does not use an input wrapper.

messagesarray<object>Required

At most 256 ordered turns. Content is a plain string or an array of parts: text, and image_url with an optional detail of auto, low or high. A tool result goes in a tool-role message carrying its tool_call_id.

Default
Not specified
Constraints
minItems:1
maxItems:256
response_formatobjectOptional

Ask for a JSON object when the output is structured data rather than prose.

Default
Not specified
tool_choicestring | objectOptional

auto lets the model skip a call; required forces one; none forbids all of them.

Default
Not specified
toolsarray<object>Optional

Up to 128 function definitions, declared on the first request of a loop.

Default
Not specified
Constraints
maxItems:128
stopstring | arrayOptional

Up to 4 sequences of at most 32 bytes each, as a string or an array. The reply ends as soon as the model writes one of them, and the matched text itself is left out. No default. It does not change the rate; a reply cut short is billed only for the tokens it produced.

Default
Not specified
Constraints
minLength:1
minItems:1
maxItems:4
reasoning_effortstringOptional

low, high or max, default max - the levels and default Moonshot documents for K3, so a request that omits the field already gets the most careful setting. Drop to high or low for short mechanical turns, where max mostly buys extra output tokens.

Default
"max"
Allowed values
"low""high""max"
max_tokensintegerOptional

Caps the reply at 1,048,576. The default of 32,768 can still truncate a whole-file rewrite silently - size it to the artefact. Reasoning tokens are billed as output too, so leave headroom above the visible answer you expect.

Default
32768
Constraints
minimum:1
maximum:1048576

Read the result

With stream set to false, the request returns the completed chat response directly. Read choices[].message; no task polling is needed. Set stream to true when your client supports Server-Sent Events.

Completed response example
{
  "id": "chatcmpl_example",
  "object": "chat.completion",
  "created": 1788652800,
  "model": "moonshot/kimi-k3/chat",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Here is a concise summary of the release notes."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 32,
    "completion_tokens": 14,
    "total_tokens": 46
  }
}

The response example is illustrative. usage reports token counts; token counts and charges depend on your actual request.

SDKs & integrations

Use SpicyAPI in your app, terminal, AI assistant or visual workflow. Choose a setup guide below.

SDKs
TypeScript · Python · Go · PHP · Java
CLI
Terminal commands and automation scripts.
MCP
Claude Code · Cursor · Codex
Agent Skill
Reusable instructions for your AI assistant.
n8n
Self-hosted community nodes and importable HTTP Request templates for n8n Cloud.
ComfyUI
Image, video and audio workflows on a node canvas.

More integrations

SillyTavernTelegram / DiscordApp proxyOpenAI SDKLangChainVercel AI SDK
Browse ready-to-use workflows

Use it in SillyTavern and roleplay apps

In SillyTavern, RisuAI, Agnai or any app with an OpenAI-compatible setting, paste the base URL below and your API key, then pick moonshot/kimi-k3/chat as the model. Browser calls are allowed, and sliders this model does not take are ignored instead of rejected.

Base URL: https://api.spicyapi.ai/v1
Model: moonshot/kimi-k3/chat
SillyTavern guideRisuAI, Agnai and moreSillyTavern extension

Use it in ComfyUI

Install the SpicyAPI nodes from ComfyUI Manager or with the command below, then pick moonshot/kimi-k3/chat in the SpicyAPI Chat node to use this model inside a ComfyUI graph.

cd ComfyUI/custom_nodes
git clone https://github.com/spicyapi-ai/comfyui-spicyapi
Workflow examplesSetup guideSource on GitHub