DeepSeek V4 Pro

curl -X POST https://api.vibetool.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v4-pro",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

import openai

client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.vibetool.ai/v1"
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4-pro",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

const response = await fetch('https://api.vibetool.ai/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'deepseek/deepseek-v4-pro',
    messages: [{ role: 'user', content: 'Hello!' }]
  })
});
const data = await response.json();
console.log(data.choices[0].message.content);

package main

import (
	"bytes"
	"fmt"
	"net/http"
)

func main() {
	url := "https://api.vibetool.ai/v1/chat/completions"
	payload := []byte(`{"model": "deepseek/deepseek-v4-pro", "messages": [{"role": "user", "content": "Hello!"}]}`)
	req, _ := http.NewRequest("POST", url, bytes.NewBuffer(payload))
	req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
	req.Header.Set("Content-Type", "application/json")

	client := &http.Client{}
	resp, _ := client.Do(req)
	defer resp.Body.Close()
	fmt.Println("Status:", resp.Status)
}

{
  "id": "chat_202601201327_c17f839a",
  "object": "chat.completion",
  "model": "deepseek/deepseek-v4-pro",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I assist you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 8,
    "completion_tokens": 10,
    "total_tokens": 18
  }
}

{
    "error": {
        "message": "Invalid request",
        "type": "invalid_request_error",
        "param": null,
        "code": 400
    }
}

{
    "error": {
        "message": "Invalid API Key provided",
        "type": "authentication_error",
        "param": null,
        "code": 401
    }
}

{
    "error": {
        "message": "Your credit balance is insufficient",
        "type": "billing_error",
        "param": null,
        "code": 402
    }
}

{
    "error": {
        "message": "Permission denied",
        "type": "permission_error",
        "param": null,
        "code": 403
    }
}

{
    "error": {
        "message": "Resource not found",
        "type": "invalid_request_error",
        "param": null,
        "code": 404
    }
}

{
    "error": {
        "message": "Conflict",
        "type": "conflict_error",
        "param": null,
        "code": 409
    }
}

{
    "error": {
        "message": "Rate limit reached for requests",
        "type": "rate_limit_error",
        "param": null,
        "code": 429
    }
}

{
    "error": {
        "message": "An internal server error occurred",
        "type": "server_error",
        "param": null,
        "code": 500
    }
}

{
    "error": {
        "message": "Service unavailable",
        "type": "server_error",
        "param": null,
        "code": 503
    }
}

POST

chat

completions

curl -X POST https://api.vibetool.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v4-pro",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

import openai

client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.vibetool.ai/v1"
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4-pro",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

const response = await fetch('https://api.vibetool.ai/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'deepseek/deepseek-v4-pro',
    messages: [{ role: 'user', content: 'Hello!' }]
  })
});
const data = await response.json();
console.log(data.choices[0].message.content);

package main

import (
	"bytes"
	"fmt"
	"net/http"
)

func main() {
	url := "https://api.vibetool.ai/v1/chat/completions"
	payload := []byte(`{"model": "deepseek/deepseek-v4-pro", "messages": [{"role": "user", "content": "Hello!"}]}`)
	req, _ := http.NewRequest("POST", url, bytes.NewBuffer(payload))
	req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
	req.Header.Set("Content-Type", "application/json")

	client := &http.Client{}
	resp, _ := client.Do(req)
	defer resp.Body.Close()
	fmt.Println("Status:", resp.Status)
}

{
  "id": "chat_202601201327_c17f839a",
  "object": "chat.completion",
  "model": "deepseek/deepseek-v4-pro",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I assist you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 8,
    "completion_tokens": 10,
    "total_tokens": 18
  }
}

{
    "error": {
        "message": "Invalid request",
        "type": "invalid_request_error",
        "param": null,
        "code": 400
    }
}

{
    "error": {
        "message": "Invalid API Key provided",
        "type": "authentication_error",
        "param": null,
        "code": 401
    }
}

{
    "error": {
        "message": "Your credit balance is insufficient",
        "type": "billing_error",
        "param": null,
        "code": 402
    }
}

{
    "error": {
        "message": "Permission denied",
        "type": "permission_error",
        "param": null,
        "code": 403
    }
}

{
    "error": {
        "message": "Resource not found",
        "type": "invalid_request_error",
        "param": null,
        "code": 404
    }
}

{
    "error": {
        "message": "Conflict",
        "type": "conflict_error",
        "param": null,
        "code": 409
    }
}

{
    "error": {
        "message": "Rate limit reached for requests",
        "type": "rate_limit_error",
        "param": null,
        "code": 429
    }
}

{
    "error": {
        "message": "An internal server error occurred",
        "type": "server_error",
        "param": null,
        "code": 500
    }
}

{
    "error": {
        "message": "Service unavailable",
        "type": "server_error",
        "param": null,
        "code": 503
    }
}

Overview

DeepSeek V4 Pro is DeepSeek’s flagship large-scale Mixture-of-Experts model, featuring 1.6 trillion total parameters with 49 billion activated per forward pass. This architecture allows V4 Pro to deliver exceptional reasoning depth and coding capability while keeping inference efficient—only a fraction of the full parameter count is engaged at any given time. The standout feature is its 1M-token context window, which opens the door to tasks that are simply out of reach for most models: analyzing entire codebases in a single pass, processing lengthy legal or scientific documents, maintaining coherent state across extended multi-turn conversations, and synthesizing information from massive corpora without chunking or retrieval hacks. Beyond raw scale, DeepSeek V4 Pro is purpose-built for advanced reasoning and code-intensive workflows. It excels at multi-step problem decomposition, algorithmic design, and generating production-quality code across a wide range of languages and frameworks. Whether you’re building an AI-powered code review pipeline, a long-document summarization service, or a complex agentic system that needs to reason over large amounts of context, V4 Pro is engineered to handle it. Accessing DeepSeek V4 Pro through Vibetool means you get all of this capability behind a single OpenAI-compatible endpoint, with one API key and one consistent request format. You can swap models, run comparisons, and scale usage without touching your integration logic. Vibetool handles routing, authentication, and billing in one place—so your team stays focused on building rather than managing upstream provider relationships.

Model Slug: deepseek/deepseek-v4-proUse this exact slug when making API requests to Vibetool.

Model Specifications

Architecture: Mixture-of-Experts (MoE)
Total Parameters: 1.6 trillion
Activated Parameters: 49 billion
Context Window: 1,048,576 tokens (1M tokens)
Input Modalities: Text
Output Modalities: Text

Pricing

Pricing: See vibetool.ai/pricing for current rates.

Use Cases

Long-Context Document Analysis: Process entire books, codebases, or legal contracts in a single request without chunking, enabling holistic understanding and cross-document reasoning.
Advanced Code Generation & Review: Generate, refactor, and audit complex multi-file codebases with deep architectural awareness and precise instruction-following.
Multi-Step Reasoning & Research: Tackle intricate reasoning chains, mathematical problem solving, and research synthesis that require sustained logical coherence over many steps.
Agentic & Workflow Automation: Power long-horizon agents that need to maintain rich context across many tool calls, observations, and decision points without losing track of prior state.

curl -X POST https://api.vibetool.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v4-pro",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

import openai

client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.vibetool.ai/v1"
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4-pro",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

const response = await fetch('https://api.vibetool.ai/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'deepseek/deepseek-v4-pro',
    messages: [{ role: 'user', content: 'Hello!' }]
  })
});
const data = await response.json();
console.log(data.choices[0].message.content);

package main

import (
	"bytes"
	"fmt"
	"net/http"
)

func main() {
	url := "https://api.vibetool.ai/v1/chat/completions"
	payload := []byte(`{"model": "deepseek/deepseek-v4-pro", "messages": [{"role": "user", "content": "Hello!"}]}`)
	req, _ := http.NewRequest("POST", url, bytes.NewBuffer(payload))
	req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
	req.Header.Set("Content-Type", "application/json")

	client := &http.Client{}
	resp, _ := client.Do(req)
	defer resp.Body.Close()
	fmt.Println("Status:", resp.Status)
}

{
  "id": "chat_202601201327_c17f839a",
  "object": "chat.completion",
  "model": "deepseek/deepseek-v4-pro",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I assist you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 8,
    "completion_tokens": 10,
    "total_tokens": 18
  }
}

{
    "error": {
        "message": "Invalid request",
        "type": "invalid_request_error",
        "param": null,
        "code": 400
    }
}

{
    "error": {
        "message": "Invalid API Key provided",
        "type": "authentication_error",
        "param": null,
        "code": 401
    }
}

{
    "error": {
        "message": "Your credit balance is insufficient",
        "type": "billing_error",
        "param": null,
        "code": 402
    }
}

{
    "error": {
        "message": "Permission denied",
        "type": "permission_error",
        "param": null,
        "code": 403
    }
}

{
    "error": {
        "message": "Resource not found",
        "type": "invalid_request_error",
        "param": null,
        "code": 404
    }
}

{
    "error": {
        "message": "Conflict",
        "type": "conflict_error",
        "param": null,
        "code": 409
    }
}

{
    "error": {
        "message": "Rate limit reached for requests",
        "type": "rate_limit_error",
        "param": null,
        "code": 429
    }
}

{
    "error": {
        "message": "An internal server error occurred",
        "type": "server_error",
        "param": null,
        "code": 500
    }
}

{
    "error": {
        "message": "Service unavailable",
        "type": "server_error",
        "param": null,
        "code": 503
    }
}

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

model

enum<string>

required

Available options:

deepseek-v4-pro

messages

object[]

required

Show child attributes

stream

boolean

default:false

temperature

number

Required range: 0 <= x <= 2

max_tokens

integer

Response

Chat completion

string

object

string

Example:

"chat.completion"

model

string

choices

object[]

usage

object

Getting Started

Text Generation

Image Generation

Video Generation

Overview

Model Specifications

Pricing

Use Cases

Authorizations

Body

Response

​Overview

​Model Specifications

​Pricing

​Use Cases

Authorizations

Body

Response

Overview

Model Specifications

Pricing

Use Cases