DeepSeek V4 Pro API の料金はいくらですか?

WaveSpeedAI の料金: 入力 100 万トークンあたり $1.84、出力 100 万トークンあたり $3.66。プロンプトキャッシュとバッチ処理は別途料金で、長く反復的なワークロードでは実効コストを下げられます。

DeepSeek V4 Pro のコンテキストウィンドウはどのくらいですか?

DeepSeek V4 Pro はリクエストあたり最大 1049K のコンテキストトークンと最大 384K の出力トークンをサポートします。

DeepSeek V4 Pro は OpenAI 互換ですか?

WaveSpeedAI は https://llm.wavespeed.ai/v1 の OpenAI 互換 Chat Completions インターフェースで DeepSeek V4 Pro を提供します。多くの OpenAI SDK クライアントはベース URL と API キーの変更で利用できますが、オプション項目はモデルごとに異なります。

DeepSeek V4 Pro を使い始めるには?

WaveSpeedAI にサインインし、Access Keys で API キーを作成して、上に表示されたモデル ID を指定して https://llm.wavespeed.ai/v1/chat/completions にリクエストを送信してください。提供状況、機能、料金は最新のモデルカタログで確認してください。

DeepSeek V4 Pro | 1.6T MoE Flagship LLM API

Name: DeepSeek V4 Pro API
Brand: deepseek
Price: 1.84 USD
Availability: InStock

deepseek/deepseek-v4-pro

リリース日: 2026-04-24

1,048,576 context · $1.84/M input tokens · $3.66/M output tokens

DeepSeek V4 Pro is DeepSeek's flagship open-source model released in April 2026, featuring a 1.6T-parameter Mixture-of-Experts architecture with 49B parameters active per token. It supports a 1M-token context window through a novel hybrid attention mechanism combining Compressed Sparse Attention and DeepSeek Sparse Attention, reducing inference FLOPs to 27% and KV cache to 10% compared to V3.2 at million-token scale. Pre-trained on 33T tokens with post-training via GRPO reinforcement learning and on-policy distillation, V4 Pro delivers frontier-level performance in coding (LiveCodeBench 93.5, Codeforces 3206), math (IMOAnswerBench 89.8), and agentic tasks (SWE-bench Verified 80.6) — competitive with GPT-5.4 and Claude Opus 4.6 at a fraction of the cost. It natively supports thinking and non-thinking modes with configurable reasoning effort, function calling, JSON output, and has been specifically optimized for mainstream agent frameworks including Claude Code, OpenClaw, and OpenCode.

料金

従量課金

初期費用なし、使った分だけお支払い

入力$1.84 / M Tokens

出力$3.66 / M Tokens

Cache Read$0.13 / M Tokens

モデルを試す

deepseek/deepseek-v4-pro

オンライン

こんにちは！お手伝いできるAIアシスタントです。何かお手伝いできることはありますか？

このモデルをローカル coding agent で使いますか？Agent 設定

API 利用

以下のコード例を使用して API と連携してください:

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'deepseek/deepseek-v4-pro',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'deepseek/deepseek-v4-pro',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

モデル紹介

Deepseek deepseek-v4-pro

DeepSeek-V4-Pro is DeepSeek's most powerful open-source model, released on April 24, 2026. It is a 1.6 trillion parameter Mixture-of-Experts (MoE) language model with 49B active parameters, pre-trained on 33T tokens, supporting a context length of one million tokens. V4-Pro achieves performance on par with top closed-source models like GPT-5.4 and Claude Opus 4.6 across coding, reasoning, and agentic benchmarks — at a fraction of the cost.

Why It Looks Great

Mixture-of-Experts architecture with 1.6T total parameters and only 49B active for efficient inference
1000000 context window powered by Compressed Sparse Attention (CSA) and DeepSeek Sparse Attention (DSA)
World-class agentic capabilities — optimized for Claude Code, OpenClaw, OpenCode, and CodeBuddy

Key Features

Context Window: 1000000 tokens
Max Output: 384000 tokens
Vision: Not Supported
Function Calling: Supported
Thinking Mode: Supported (non-thinking / high / max)
JSON Output: Supported
FIM Completion: Supported (non-thinking mode only)

Benchmarks

Benchmark	V4-Pro	Claude Opus 4.6	GPT-5.4	Gemini 3.1 Pro
SWE-bench Verified	80.6	80.8	—	80.6
LiveCodeBench	93.5	88.8	91.7	91.7
Codeforces Rating	3206	—	3168	3052
MMLU-Pro	87.5	89.1	87.5	91.0
IMOAnswerBench	89.8	75.3	91.4	81.0
Terminal Bench 2.0	67.9	65.4	75.1	68.5
Toolathlon	51.8	47.2	54.6	48.8
BrowseComp	83.4	83.7	—	85.9

Specifications

Specification	Value
Provider	Deepseek
Model Type	Large Language Model (LLM)
Architecture	Mixture-of-Experts (MoE)
Total Parameters	1.6T (49B active)
Context Window	1000000 tokens
Max Output	384000 tokens
Input	Text
Output	Text
Vision	Not Supported
Function Calling	Supported
Thinking Mode	Supported (high / max)
Release Date	April 24, 2026

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: deepseek/deepseek-v4-pro

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

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

print(response.choices[0].message.content)

cURL

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

Notes

Model: deepseek/deepseek-v4-pro
Provider: Deepseek
Open-source weights available on HuggingFace and ModelScope
Supports both OpenAI and Anthropic API formats
For complex Agent scenarios, use thinking mode with reasoning_effort set to max

情報

プロバイダーdeepseek

タイプllm

対応機能

入力

テキスト

出力

テキスト

コンテキスト1,048,576

最大出力384,000

Vision-

Function Calling✓ 対応

API アクセスガイド

Base URLhttps://llm.wavespeed.ai/v1

API エンドポイントchat/completions

モデル IDdeepseek/deepseek-v4-pro

料金