DeepSeek v4 Flash

DeepSeekChatin 0.14 · out 0.28 Credits / 1M tokens≈$0.14 / $0.28Available

DeepSeek V4 Flash is a high-performance multimodal AI model supporting image, video, and text generation and understanding.

Efficient MoE architectureLow cost, high throughputStrong reasoning & codeLong-context chat

Use cases

deepseek-v4-flash prototyping · deepseek-v4-flash production workflows

Input

Text, image

Output

Text

Billing

Per token

Model Type:

System Prompt

Temperature0.7

Max Tokens2048

2568192

deepseek-v4-flash

Start a conversation

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Pricing details

Transparent usage-based pricing with no hidden fees.

Detailed Pricing

Usage-based pricing breakdown

Spec	Price
Input/1M tokens	0.14 Credits≈$0.14
Output/1M tokens	0.28 Credits≈$0.28
Cache Read/1M tokens	0.0028 Credits≈$0.0028

Billing Rules

Output price varies by model, resolution, quality, duration, or token usage.
Uploaded reference files may be charged separately when supported.
Add-on capabilities such as web search or image search may be billed per request.
Token-based models are billed by input and output tokens.
If the primary route is unavailable, Velokey may automatically switch to a stable fallback route when possible.
Usage is pay-as-you-go with transparent credit deduction.

* Final cost depends on the generated result.

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Affordable DeepSeek-V4-Flash API

Access DeepSeek-V4-Flash on Velokey — near-Pro reasoning in a smaller, faster body, a 1M-token context with DeepSeek Sparse Attention, and very low cost with high concurrency, all through a unified endpoint with below-list pricing.

Meet DeepSeek-V4-Flash and its API access

DeepSeek-V4-Flash is DeepSeek's model released on April 24, 2026, a cost-effective variant built for fast inference. It uses a Mixture-of-Experts architecture with 284B total parameters and 13B active per token, so its reasoning closely approaches the larger V4-Pro and performs comparably to V4-Pro on simple agent tasks — while its smaller size delivers faster responses and much lower cost. It ships with a 1M-token context window, up to 384K max output, and supports both Thinking and Non-Thinking modes (thinking is the default). Velokey provides an affordable, easy-to-integrate DeepSeek-V4-Flash API: a unified chat endpoint, a clear request flow, and below-list pricing for production systems, agent pipelines, and high-concurrency automation. The API is compatible with OpenAI ChatCompletions and Anthropic APIs and integrates with Claude Code, OpenClaw, and OpenCode.

Reasoning that closely approaches V4-Pro

Despite its smaller footprint, V4-Flash's reasoning closely approaches the larger V4-Pro and performs comparably to V4-Pro on simple agent tasks — strong intelligence in a lighter, more efficient body.

View Documentation →

Reasoning that closely approaches V4-Pro

Fast, low-latency inference

Its smaller size means faster response times, making it a great fit for interactive assistants, real-time agents, and any workflow where latency matters.

View Documentation →

Cost-effective with high concurrency

Priced far below V4-Pro and built to handle a concurrency limit of 2,500, it lets you run large volumes of requests at low cost — ideal for batch processing and scaled automation.

View Documentation →

1M context with DSA efficiency

A 1M-token context window plus token-wise compression and DeepSeek Sparse Attention (DSA) deliver world-leading long context with drastically reduced compute and memory cost.

View Documentation →

How to deploy the DeepSeek-V4-Flash API on Velokey

Get started with just a few steps.

Sign up and get an API Key

Configure request parameters

Set model to deepseek-v4-flash and submit messages. Thinking mode is the default for deeper reasoning; switch to Non-Thinking mode for faster, lighter responses.

Integrate and start calling

Send requests to Velokey's unified endpoint — compatible with OpenAI ChatCompletions and Anthropic APIs and ready for Claude Code, OpenClaw, and OpenCode — with usage managed in one console.

Real-world use cases for DeepSeek-V4-Flash

From interactive assistants to scaled automation, covering many fast, cost-sensitive scenarios.

Low-latency interactive assistants

Fast response times and near-Pro reasoning — fit for chat assistants and real-time agents where latency matters.

Simple agent & coding tasks

Performs comparably to V4-Pro on simple agent tasks — fit for tool-use loops and lightweight coding assistance via Claude Code, OpenClaw, and OpenCode.

High-concurrency batch processing

A 2,500 concurrency limit and low cost make it fit for large-scale batch jobs, classification, and data extraction.

Long-document analysis

A 1M-token context with DSA efficiency — fit for retrieval, synthesis, and QA across entire codebases and long documents.

Cost-sensitive production workloads

Pricing far below V4-Pro — fit for high-volume production traffic where cost per token is critical.

Tiered routing with V4-Pro

Route simple requests to V4-Flash and complex ones to V4-Pro — fit for balancing quality and cost across a single pipeline.

Why choose Velokey for DeepSeek-V4-Flash

Discount on list price

Call DeepSeek-V4-Flash at a lower price on Velokey — pay-as-you-go with no forced subscription, reducing upfront cost.

Unified API interface

One API Key accesses DeepSeek-V4-Flash and other models — no juggling multiple accounts and keys, simplifying integration.

Complete docs and integration guidance

Endpoint references and OpenAI/Anthropic-compatible examples help you integrate quickly with Claude Code, OpenClaw, and OpenCode.

Stable and highly available

Automatic failover and stable fallback routes maintain availability when the primary route is down, keeping production reliable.

API Reference

Complete API call examples and parameter descriptions

Endpoint

https://api.velokey.ai/v1/chat/completions

Authentication

Bearer YOUR_API_KEY

Request Example

curl https://api.velokey.ai/v1/chat/completions \
  -X POST \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-flash",
    "messages": [{"role": "user", "content": "Hello!"}],
    "temperature": 0.7
  }'

Response Example

{
  "id": "req_abc123",
  "model": "deepseek-v4-flash",
  "created": 1234567890,
  "data": { ... }
}