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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
deepseek/v4-pro/chat

DeepSeek V4 Pro chat through an OpenAI-compatible endpoint. It takes up to 1,048,576 tokens of text and returns up to 384,000, with low or high reasoning effort (high by default), up to 128 tool definitions and JSON response format.

Input $1.32Output $3.96per 1 million tokensCached input $0.044
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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": "deepseek/v4-pro/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, text content only. Send back reasoning_content on an assistant turn to keep a tool conversation coherent.

Default
Not specified
Constraints
minItems:1
maxItems:256
response_formatobjectOptional

Request a JSON object when the answer is consumed by code.

Default
Not specified
tool_choicestring | objectOptional

auto, none, required, or an object naming the function to call.

Default
Not specified
parallel_tool_callsbooleanOptional

true or false, default true: the model may request several tool calls in one turn. Set false to get at most one call per turn, for loops where each call depends on the previous result. No effect on price.

Default
true
toolsarray<object>Optional

Up to 128 function definitions per request.

Default
Not specified
Constraints
maxItems:128
max_tokensintegerOptional

Caps the reply at 384,000. The default of 32,768 will truncate a migration plan without an error. Reasoning tokens are billed as output too, so leave headroom above the visible answer you expect.

Default
32768
Constraints
minimum:1
maximum:384000
stopstring | arrayOptional

Up to 4 sequences, 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

none, low or high, high by default. none skips the reasoning pass entirely, which is the only way to keep reasoning tokens off your bill — they are charged as output. Use low for volume passes and high for answers that must not be wrong.

Default
"high"
Allowed values
"none""low""high"

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": "deepseek/v4-pro/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 deepseek/v4-pro/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: deepseek/v4-pro/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 deepseek/v4-pro/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