AI Rate Card

DeepSeek V4 Pro · requesty

DeepSeek V4 Pro is a large scale Mixture of Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M token context window. It is built for advanced reasoning, coding, and long horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks. Built on the same architecture as DeepSeek V4 Flash, it adds a hybrid attention system for efficient long context processing. Reasoning efforts high and xhigh are supported, with xhigh mapping to max reasoning. It is well suited for complex workloads such as full codebase analysis, multi step automation, and large scale information synthesis, where both capability and efficiency are critical.

Base modelAll models on this baseAll models of the providerto the provider

Input, $/1M $1.75

Output, $/1M $3.50

Cache read $0.44

Cache write —

Context 1 048 576

Max output 1 048 576

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Last checked 04.11.2026 12:00:14 UTC

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API

OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.

API base URL
https://router.requesty.ai/v1
Endpoint
https://router.requesty.ai/v1/chat/completions
Model id
tensorx/deepseek-v4-pro-0424
curl
curl https://router.requesty.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "tensorx/deepseek-v4-pro-0424", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'
Python
import requests

r = requests.post(
    "https://router.requesty.ai/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "tensorx/deepseek-v4-pro-0424",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ],
      "max_tokens": 256
    },
)
print(r.json())
JavaScript
const r = await fetch("https://router.requesty.ai/v1/chat/completions", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "tensorx/deepseek-v4-pro-0424",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());
Request (JSON)
{
  "model": "tensorx/deepseek-v4-pro-0424",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}
Response (JSON)
{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "tensorx/deepseek-v4-pro-0424",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hi! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

The address is taken from the provider's model list; check it against the provider's documentation.

Provider's API documentation

Source: AI Rate Card, https://airatecard.com/en/c/offer%3Arequesty%7Ctensorx/deepseek-v4-pro-0424, prices checked 2026-11-04; seller's page: https://www.requesty.ai/models/tensorx/deepseek-v4-pro-0424

Technical details

ID: offer:requesty|tensorx/deepseek-v4-pro-0424