DeepSeek / deepseek-v4-pro
DeepSeek V4 Pro stands out for High-capability V4 tier for deep reasoning and 1M context with agentic coding focus. It is best suited to complex software engineering and deep technical analysis.
Context
1M
token
Input
$1.80
/ 1M tokens
Output
$3.60
/ 1M tokens
Quality
#19
Elo 1355
Overview
DeepSeek V4 Pro stands out for High-capability V4 tier for deep reasoning and 1M context with agentic coding focus. It is best suited to complex software engineering and deep technical analysis.
Tool calling
Can call tools or functions, so product flows can connect model output to backend actions.
Streaming
Supports streamed responses for chat, assistants, and interfaces that need visible incremental output.
Prompt cache
Supports prompt caching patterns for repeated context and longer production conversations.
Reasoning
Better suited for multi-step analysis, planning, and tasks that need deliberate reasoning.
Structured output
Can return machine-readable structures for extraction, automation, and application logic.
Model maker
DeepSeek
Called through SeaLink's unified account, balance, and OpenAI-compatible API.
Protocol
OpenAI-compatible Chat Completions
Base URL: https://api.sealink.io/v1
Pricing
The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.
API
model
deepseek-v4-probase_url
https://api.sealink.io/v1Auth
Bearer $SEALINK_API_KEYcurl https://api.sealink.io/v1/chat/completions \-H "Authorization: Bearer $SEALINK_API_KEY" \-H "Content-Type: application/json" \-d '{"model": "deepseek-v4-pro","messages": [{"role": "user", "content": "Hello."}]}'
from openai import OpenAIclient = OpenAI(base_url="https://api.sealink.io/v1", api_key="<your-sealink-key>")resp = client.chat.completions.create(model="deepseek-v4-pro",messages=[{"role": "user", "content": "Hello."}],)print(resp.choices[0].message.content)
import OpenAI from "openai";const client = new OpenAI({baseURL: "https://api.sealink.io/v1",apiKey: process.env.SEALINK_API_KEY,});const resp = await client.chat.completions.create({model: "deepseek-v4-pro",messages: [{ role: "user", content: "Hello." }],});console.log(resp.choices[0].message.content);