DeepSeek V4 Flash

DeepSeekAll DeepSeek models

Input

$0.20

USD / 1M tokens

Output

$0.40

USD / 1M tokens

Context

1M

tokens

Released

2026-04-24

Positioning: Economy. Price level 1 of 4 among text models.

DeepSeek V4 Flash is the fast, low-cost tier of DeepSeek's V4 model family, introduced in April 2026 as a smaller mixture-of-experts sibling to V4 Pro. DeepSeek has since retired the original V4-Flash on its own API and keeps the deepseek-v4-flash name temporarily, routing it to DeepSeek-V4.1-Flash. ATP's catalog exposes this id with tool calling and image input, without thinking mode.

ToolsVision

DeepSeek's Models & Pricing page lists a 1M context length and a maximum output of 384K tokens for its Flash model, which now serves deepseek-v4-flash requests.

Pricing

Pay for what you use: credits are deducted only when a request succeeds.
Prices in USD · $1 = 100 credits
Input
$0.20
Cache read
$0.04
Output
$0.40
USD / 1M tokens

DeepSeek · Family · USD / 1M tokens

Text models from the same vendor on ATP. Bars fill up to the family's highest price.
All DeepSeek models
ModelInputOutput
DeepSeek V4 Prodeepseek-v4-pro$2.40$4.80
DeepSeek V3.2deepseek-v3-2$0.57$1.71
DeepSeek V4 Flash This pagedeepseek-v4-flash$0.20$0.40

Cost per 1,000 typical requests

A quick estimate with fixed token counts per request. No caching, no retries. Try the estimator with your own numbers.
WorkloadUSD / 1,000
Short chat turn800 / 400$0.32
RAG answer4,000 / 500$1.00
Agent step with tools20,000 / 1,500$4.60

Where it fits

Good fit
  • Bulk extraction, classification, and tagging jobs
  • High-QPS chat, summarization, and RAG answer generation
  • Fast tool-calling agent steps that need 1M-token context headroom
  • Reading screenshots, charts, and document images alongside text
Usually not ideal
  • Thinking-mode reasoning — ATP's catalog exposes the non-thinking path here; use deepseek-v4-pro for depth
  • Workloads that must pin one exact model build — DeepSeek upgrades the model behind this name in place

Same controls on every model: project keys, per-project model access, credit budgets, and a log of every request.Set up your organization

Cost estimator

Plug in your usage to see roughly what a month costs.
0200
0100
ESTIMATE
$2.80
USD / month
280 credits / month
  • Input$2.0000
  • Output$0.8000

$2.80 USD / month · 280 credits / month

An estimate at our USD prices (USD 1 = 100 credits). What each request actually cost shows up in your console's request log. Cached input is billed at the lower cache-read price, so you may spend less.

Quickstart

Keep your SDK. Point it at ATP and use a project key. Read the docs
quickstart.py · OpenAI SDK
from openai import OpenAI

client = OpenAI(
  base_url="https://api.atptoken.ai/v1",
  api_key="atp-•••"
)

r = client.chat.completions.create(
  model="deepseek-v4-flash",
  messages=[{"role":"user","content":"hi"}],
)

Compare with similar models

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FAQ

4
Can DeepSeek V4 Flash use tools, read images, or think before answering?
DeepSeek V4 Flash supports tool calling and vision input, but not extended thinking or audio.
How much context does DeepSeek V4 Flash take?
DeepSeek lists a 1,000,000-token context window for DeepSeek V4 Flash. Source: DeepSeek API Docs — Models & Pricing. The model list your key can see shows the limit you actually get.
Is cached input cheaper on DeepSeek V4 Flash?
You pay per 1M input tokens and per 1M output tokens. Cached input costs 20% of the normal input price. You only pay when a request succeeds. $1 = 100 credits. See pricing
How do I call DeepSeek V4 Flash on ATP?
Create a project API key and point any OpenAI-compatible SDK at https://api.atptoken.ai/v1. Set model to "deepseek-v4-flash" (the API id, not the display name). Make sure the model is turned on for your project.

Sources

The model description on this page cites these sources. Prices come from ATP.
Get started

Start with $5. Credits never expire.

Create a project key, turn this model on, and pay only for what you use.