DeepSeek V4.1 Flash 1017 | DeepSeek Multimodal LLM API Pricing

Name: DeepSeek V4.1 Flash 1017 API
Brand: deepseek
Price: 0.3 USD
Availability: InStock

deepseek/deepseek-v4.1-flash-1017

Fecha de lanzamiento: 2026-10-17

1,048,576 context · $0.30/M input tokens · $1.20/M output tokens

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name. V4.1 Flash is a sparse mixture-of-experts model...

Precios

Pago por uso

Sin costos iniciales, paga solo por lo que uses

Entrada$0.30 / M Tokens

Salida$1.20 / M Tokens

Cache Read$0.0060 / M Tokens

Probar el modelo

deepseek/deepseek-v4.1-flash-1017

En línea

¡Hola! Soy un asistente de IA útil. ¿En qué puedo ayudarte?

¿Listo para usar este modelo en un coding agent local?Configurar agent

Uso de API

Usa los siguientes ejemplos de código para integrar con nuestra API:

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: 0,
});

try {
  const response = await client.chat.completions.create({
    model: 'deepseek/deepseek-v4.1-flash-1017',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  const body = response as typeof response & { error?: { message?: string } };
  if (body.error) throw new Error(body.error.message || 'LLM generation failed');
  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: 0,
});

try {
  const response = await client.chat.completions.create({
    model: 'deepseek/deepseek-v4.1-flash-1017',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  const body = response as typeof response & { error?: { message?: string } };
  if (body.error) throw new Error(body.error.message || 'LLM generation failed');
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

Introducción del modelo

DeepSeek: DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name. V4.1 Flash is a sparse mixture-of-experts model...

This model is available through the WaveSpeed AI OpenAI-compatible API for chat completions and compatible application workflows.

Why It Looks Great

text+image->text architecture for Text, Image to Text workloads
1048576 context window for long prompts, document analysis, and multi-turn workflows
Vision input support for image understanding and multimodal tasks
Function calling and tool-use support for agentic application workflows
Structured output support for JSON responses and schema-constrained generation
Reasoning controls available through supported parameters

Key Features

Context Window: 1048576 tokens
Max Input: 655360 tokens
Max Output: 393216 tokens
Vision: Supported
Function Calling: Supported
Structured Outputs: Supported
Image Generation: Not listed
Audio Input: Not listed
Supported Parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_completion_tokens, max_tokens, min_p, parallel_tool_calls, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

Specifications

Specification	Value
Provider	deepseek
Model Type	Chat Completions model
Architecture	text+image->text
Context Window	1048576 tokens
Max Input	655360 tokens
Max Output	393216 tokens
Input	Text, Image
Output	Text
Vision	Supported
Function Calling	Supported
Structured Outputs	Supported
Release Date	October 17, 2026

How to Use

Write your prompt - describe the task, provide context, and specify the 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-v4.1-flash-1017

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-v4.1-flash-1017",
    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-v4.1-flash-1017",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: deepseek/deepseek-v4.1-flash-1017
Provider: deepseek

Información

Proveedordeepseek

Tipollm

Funcionalidades compatibles

Entrada

TextoImagen

Salida

Texto

Contexto1,048,576

Salida máxima393,216

Visión✓ Compatible

Function Calling✓ Compatible

Guía de acceso a la API

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

API Endpointchat/completions

ID del modelodeepseek/deepseek-v4.1-flash-1017

Preguntas frecuentes sobre DeepSeek V4.1 Flash 1017

¿Cuánto cuesta DeepSeek V4.1 Flash 1017 a través de la API?+

Precios en WaveSpeedAI: $0.30 por millón de tokens de entrada y $1.20 por millón de tokens de salida. El prompt caching y el procesamiento por lotes se facturan por separado y reducen el coste efectivo en cargas largas y repetitivas.

¿Cuál es la ventana de contexto de DeepSeek V4.1 Flash 1017?+

DeepSeek V4.1 Flash 1017 admite hasta 1049K tokens de contexto y hasta 393K tokens de salida por solicitud.

¿Es DeepSeek V4.1 Flash 1017 compatible con OpenAI?+

WaveSpeedAI ofrece DeepSeek V4.1 Flash 1017 en https://llm.wavespeed.ai/v1 mediante la interfaz Chat Completions compatible con OpenAI. En la mayoría de clientes del SDK de OpenAI basta con cambiar la URL base y la clave API; los campos opcionales dependen del modelo.

¿Cómo empiezo con DeepSeek V4.1 Flash 1017?+

Inicia sesión en WaveSpeedAI, crea una clave API en Access Keys y envía una solicitud a https://llm.wavespeed.ai/v1/chat/completions con el id de modelo mostrado arriba. Consulta el catálogo actual para conocer disponibilidad, capacidades y precios.