WLRouter

Models/deepseek-v4-pro

Model Code

deepseek-v4-pro

Model overview

Deep thinkingText generation

DeepSeek-V4-Pro is a flagship MoE model with 1.6T total parameters and 49B active parameters. It natively supports million-token long context and is designed for advanced mathematics, complex reasoning, professional coding, deep long-document analysis, scientific research, office workflows, and agentic tasks.

Company: DeepSeekProvider: Alibaba Cloud

Model capabilities

Input modalityT

Output modalityT

Model experience✓

Function calling✓

Structured output-

Web search-

Prefix completion-

Context cache✓

Batch inference✓

Fine-tuning-

Model pricing

Input$1.79/1M tokens

Input (cache hit)$0.1493/1M tokens

Output$3.58/1M tokens

Rate limits and context

Maximum input length1M

Context length1M

Maximum output length384K

RPM15000

TPM1200000

API reference

EndpointPOST /v1/chat/completions

SDKOpenAI-compatible

API code examples

Get API Key

from openai import OpenAI

client = OpenAI(
    api_key="$WLROUTER_API_KEY",
    base_url="https://api.wlrouter.com/v1"
)

response = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[
        {"role": "user", "content": "Reply with one short sentence."}
    ],
    max_tokens=32
)

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