DeepSeek / deepseek-v4-flash-0731
DeepSeek V4 Flash 0731 stands out for Distinct 0731 re-post-trained V4 Flash release and 1M context with coding, reasoning, and agent strengths. It is best suited to agentic coding on the 0731 revision and long-context reasoning and code review.
Context
1M
token
Input
$0.352
/ 1M tokens
Output
$1.056
/ 1M tokens
Quality
—
No score
Overview
DeepSeek V4 Flash 0731 stands out for Distinct 0731 re-post-trained V4 Flash release and 1M context with coding, reasoning, and agent strengths. It is best suited to agentic coding on the 0731 revision and long-context reasoning and code review.
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
Light production run
100K input + 25K output
$0.0616
Higher-volume run
1M input + 250K output
$0.616
The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.
API
model
deepseek-v4-flash-0731base_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-flash-0731","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-flash-0731",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-flash-0731",messages: [{ role: "user", content: "Hello." }],});console.log(resp.choices[0].message.content);