SJolt

DeepSeek V4 Flash Text generation API

deepseek / deepseek-v4-flash

A fast DeepSeek model for text generation and reasoning tasks.

Use deepseek/deepseek-v4-flash through the sjolt LLM API.

Model IDdeepseek/deepseek-v4-flash
Pricing

Token rates

Input
$0.352 / 1M tokens
Cache read
$0.0112 / 1M tokens
Output
$1.056 / 1M tokens
DeepSeek V4 Flashdeepseek/deepseek-v4-flash

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Model overview

DeepSeek V4 Flash for fast-moving agentic work

Build responsive coding agents and everyday automations with a model tuned for faster execution and higher-concurrency workloads.

DeepSeek V4 Flash text generation model cover
01 · Text generation

Keep agentic work in motion

Run tool-rich coding loops, parallel task queues, and daily workflows with an emphasis on responsive iteration and throughput.

  • Send one required user prompt with optional system instructions.
  • Review the exact non-streaming OpenAI Chat request before running it.
  • Inspect assistant text, finish reason, response ID, and token usage together.
DeepSeek V4 Flash long-context text generation model cover
02 · Request controls

Carry the full working set

Use a 1M-token context window to keep large repositories, long conversations, specifications, and tool results together across a task.

User promptSystem promptNon-streaming response
DeepSeek V4 Flash API compatibility model cover
03 · API integration

Connect through familiar formats

Use OpenAI Chat Completions, OpenAI Responses, or Anthropic Messages through the shared sjolt LLM API.

  • Compare enabled DeepSeek text models in one place.
  • Copy the request preview to keep application requests aligned with the Playground.
  • Handle assistant responses and provider availability states in the same workflow.

Model characteristics

Better for creative validation than isolated one-off generation.

01

Workflow focus

Faster, higher-concurrency agentic coding and everyday automation.

02

Context window

Up to 1,000,000 input tokens.

03

Maximum API output

Up to 384,000 tokens.

04

Thinking control

Thinking can be disabled; available effort levels are low, high, and max.

FAQ

These are the first questions to answer when evaluating this model.

What is DeepSeek V4 Flash suited to?

It is suited to agentic coding, repeated tool calls, parallel task queues, and daily workflows where responsive iteration matters.

Can I disable thinking?

Yes. Thinking can be turned off, or enabled with low, high, or max effort.

How much context and output does the API support?

The API supports a 1M-token context window and up to 384K output tokens.

Which API formats can I use?

sjolt supports OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages for this model.