If you searched for “the DeepSeek app” you probably want three things: the real download link, a quick sense of what it does versus the website, and an honest read on whether it’s safe to install. This guide answers all three. I’ve been running DeepSeek in production through V3, V3.2, R1, and now V4, and I use the mobile client daily on both iOS and Android alongside ChatGPT and Claude. As of April 24, 2026 the app now runs DeepSeek V4 by default, with the 1-million-token context window the web chat already carries. Here’s what that actually changes, where the app falls short, and how to avoid the counterfeit listings crowding the stores.

What the DeepSeek app is — in one paragraph

The DeepSeek app is the official mobile client from Hangzhou DeepSeek, published on the Apple App Store and Google Play, plus an APK distributed from DeepSeek’s own download page for regions where the Play Store listing isn’t available. It’s a chat interface in front of DeepSeek’s large language models — currently V4 — with file upload, web search, and a DeepThink toggle that switches the model between non-thinking and thinking mode. The launch materials advertise e-mail, Google Account, or Apple ID login, cross-platform chat history sync, web search and Deep-Think mode, and file upload with text extraction, with no ads and no in-app purchases.

Download links you can trust

Counterfeit DeepSeek apps are a real problem in both stores, so verify the publisher before tapping install. On iOS, the developer name on the listing should be 杭州深度求索人工智能基础技术研究有限公司 (Hangzhou DeepSeek). The official download hub at download.deepseek.com/app/ links through to both stores and the Android APK. The official page confirms the app is available for iOS and Android.

There is no official DeepSeek desktop application. If someone sells you one, it isn’t legitimate. For a deeper walkthrough of authenticating the install, see our guide on how to verify official DeepSeek app listings.

What’s new: V4 replaces V3.2 in the app

DeepSeek-V4 Preview went live on April 24, 2026 as two open-weight Mixture-of-Experts models: V4-Pro at 1.6T total parameters with 49B active, and V4-Flash at 284B total and 13B active. On the web and in the mobile app, you can try the new models at chat.deepseek.com through Expert Mode and Instant Mode, which map to V4-Pro and V4-Flash respectively. The DeepThink toggle still switches the active model between non-thinking and thinking mode — in V4 that’s a request parameter on either tier, not a separate model ID.

Two things the app inherits from the V4 release:

• 1-million-token context by default on both tiers, with output up to 384,000 tokens. That’s enough to paste an entire mid-sized codebase or a multi-hundred-page PDF in one turn.
• Hybrid attention efficiency. DeepSeek credits a Hybrid Attention Architecture it says improves memory across long conversations and enables the 1 million-token context window, allowing entire codebases or long documents to be sent as a single prompt.

For the architecture and benchmark detail, the model pages for DeepSeek V4-Pro and DeepSeek V4-Flash carry the side-by-side numbers.

App vs web vs API — pick the right surface

These three are often conflated. They behave differently.

This distinction matters. The app and web chat keep your conversation thread for you. The API does not — chat requests hit POST /chat/completions, the OpenAI-compatible endpoint, and your code must resend the full messages array on every call to sustain context. If you only want a chat window, the app is enough. If you want to script anything, see our DeepSeek API documentation walkthrough.

Is the DeepSeek app free?

Yes, for personal use. The app does not sell subscription tiers or “speed boost” packs; there’s no in-app purchase flow at all. DeepSeek does not publicly document a daily message cap as of April 2026, but heavy use can hit transient rate limits during peak hours — the model switches to shorter responses rather than blocking you. The API is a separate, paid surface with its own rate card. For a fuller breakdown, see is DeepSeek free.

The developer side: when the app isn’t enough

If you outgrow the app and want to call V4 from your own code, a minimal Python example using the OpenAI SDK looks like this:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.deepseek.com",
    api_key="YOUR_DEEPSEEK_KEY",
)

resp = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Summarise this contract."}],
    max_tokens=1024,
)
print(resp.choices[0].message.content)

Swap deepseek-v4-flash for deepseek-v4-pro when you need the frontier tier, and add reasoning_effort="high" with extra_body={"thinking": {"type": "enabled"}} to enable thinking mode. Legacy IDs deepseek-chat and deepseek-reasoner will be fully retired and inaccessible after July 24, 2026 at 15:59 UTC, and currently route to deepseek-v4-flash in non-thinking and thinking mode respectively. Migration is a one-line model= swap; the base_url does not change. DeepSeek also exposes an Anthropic-compatible surface against the same base URL, so the Anthropic SDK works the same way.

Useful parameters

• temperature — 0.0 for code and math, 1.3 for general chat, 1.5 for creative writing.
• top_p — nucleus sampling; an alternative to temperature.
• max_tokens — cap on output, up to 384,000 on V4.
• reasoning_effort — "high" or "max"; pair with the thinking flag.
• JSON mode, tool calling, streaming, context caching, FIM completion (Beta, non-thinking only), and Chat Prefix Completion (Beta) are all supported.

JSON mode is designed to return valid JSON, not guaranteed — include the word “json” plus a short example schema in your prompt, set max_tokens high enough to avoid truncation, and handle the occasional empty response. When thinking is enabled, V4 returns reasoning_content alongside the final content.

API cost — a worked example on V4-Flash

For 1,000,000 API calls with a 2,000-token cached system prompt, a 200-token user message, and a 300-token response on deepseek-v4-flash (rates as of April 2026):

Input, cache hit : 2,000,000,000 tok x $0.028/M = $56.00
Input, cache miss:   200,000,000 tok x $0.14 /M = $28.00
Output           :   300,000,000 tok x $0.28 /M = $84.00
                                                  -------
Total                                             $168.00

The same workload on deepseek-v4-pro costs about $1,682.00 — roughly 10× more, because Pro is $0.145 / $1.74 / $3.48 per million tokens for cache-hit input, cache-miss input and output respectively. Off-peak discounts are no longer offered; DeepSeek ended them on September 5, 2025 and did not reintroduce them for V4. Check the DeepSeek API pricing page before committing.

Privacy and regional availability

The honest version: the app routes your conversations to servers in China, where they are processed and may be stored under Chinese law, including lawful-access requests. That is not a dealbreaker for casual use, but it is a reason not to paste client secrets, production credentials, or regulated personal data into any hosted chat client — DeepSeek’s or otherwise.

Regulatory status varies. Multiple US states, Australia, Taiwan, South Korea, Denmark and Italy introduced bans or other restrictions on DeepSeek-R1 shortly after its release, citing privacy and national security concerns. These restrictions mostly apply to government devices rather than consumer downloads, but specifics change — our DeepSeek availability by country page tracks the current picture, and the DeepSeek privacy guide covers what’s logged.

Where the app is strong, and where it isn’t

Strong: speed on short prompts, file upload with text extraction, the 1M-token context paste-everything workflow, and formal math — on Putnam-200 Pass@8, V4-Flash-Max scores 81.0 versus 26.5 for Gemini-3-Pro, and on Putnam-2025 V4 reaches a proof-perfect 120/120.

Weaker: native voice and image generation lag the polished flows inside ChatGPT and Gemini. Long-context retrieval quality still trails the closed leaders — on MRCR 1M, V4 scores 83.5 versus Opus 4.6 at 92.9, and Opus is still the long-context leader. And DeepSeek itself said the Pro version’s performance falls only “marginally short” of OpenAI’s GPT-5.4 and Gemini 3.1-Pro, suggesting a developmental trajectory that trails state-of-the-art frontier models by approximately 3 to 6 months.

For side-by-side context, see DeepSeek vs ChatGPT and the wider DeepSeek comparisons hub.

Setting the app up in five minutes

1. Install from the App Store or Google Play; verify the publisher reads as Hangzhou DeepSeek. Android users in restricted regions can sideload the APK from download.deepseek.com/app/.
2. Open the app and sign in with email, Google or Apple ID. If you hit a verification loop, our DeepSeek login notes cover the common blockers.
3. Toggle DeepThink for reasoning-heavy prompts; leave it off for speed on simple questions.
4. Enable Web Search when you want current information — the model is not inherently up to date.
5. Upload documents through the paperclip icon; the app extracts and indexes text up to the 1M-token window.

If you prefer a full step-by-step, the how to use DeepSeek tutorial walks through every surface in order.

Last verified: 2026-04-24. DeepSeek AI Guide is an independent resource and is not affiliated with DeepSeek or its parent company. Model IDs, pricing and API behaviour change; check the official DeepSeek documentation and pricing page before committing to a production decision.