DeepSeek V4 Flash
$0.20
$0.40
1M
2026-04-24
- Positioning
- Economy, as the vendor describes it.Source
- Price
- Level 1 of 4 among text models ($ is the cheapest), by output price per 1M tokens: under $1.
- Vendor-stated speed
- Not shown: the vendor doesn't compare this model's speed.
Three separate signals, not a quality score.
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.
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
DeepSeek · Family · USD / 1M tokens
| Model | Input | Output |
|---|---|---|
| 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
| Workload | USD / 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
- 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
- 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
- Input$2.0000
- Output$0.8000
$2.80 USD / month · 280 credits / month
Quickstart
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
FAQ
- 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
Start with $5. Credits never expire.
Create a project key, turn this model on, and pay only for what you use.