What is DeepSeek? A complete guide to features, pricing, and use cases

DeepSeek is the AI model that caught the industry off guard. Built by a Chinese AI research lab and released at a fraction of the cost of comparable Western models, it went from obscure research project to global headline in a matter of weeks, and for good reason. It performs at the level of the best models available, it's open source, and much of it is free to use.

This guide covers what DeepSeek is, what it can do, how it compares to ChatGPT, and what it costs. If you want to go further, we'll also show you how IFTTT connects DeepSeek to the rest of your workflow. IFTTT is an automation platform that connects over 1000 apps and services, so instead of manually prompting DeepSeek every time you need something done, you can build workflows that run automatically: sending responses to Slack, logging replies to Google Sheets, analyzing images from your camera, and more.

What is DeepSeek?

DeepSeek is a large language model developed by DeepSeek AI, a research lab based in Hangzhou, China. It's designed to understand and generate text, answer questions, write code, analyze documents, and reason through complex problems, the same core capabilities as ChatGPT or Gemini, but built and released differently.

What set DeepSeek apart when it launched was the combination of high performance and low cost. The company published research showing their models were trained at dramatically lower expense than comparable models from OpenAI and Google, which sent ripples through the AI industry. DeepSeek is also open source, the model weights are publicly available, meaning developers can run it locally or build on top of it without going through a commercial API.

What is DeepSeek used for?

DeepSeek handles the same broad range of tasks as other frontier AI models. Developers use it for code generation, debugging, and technical documentation, DeepSeek performs strongly on coding benchmarks and is a practical alternative to GitHub Copilot or ChatGPT for programming tasks.

Researchers and analysts use it to process documents, synthesize information across sources, and work through multi-step reasoning problems that require more than a simple lookup.

Writers and content teams use it to draft, edit, summarize, and reformat text at scale, the same productivity applications that drove adoption of ChatGPT, but with a model that can be run more cost-effectively or self-hosted entirely.

Businesses use it through the API to power customer-facing tools, internal assistants, and automated workflows, particularly teams that want to keep data on their own infrastructure rather than sending it to a third-party cloud.

How does DeepSeek work?

DeepSeek is a transformer-based large language model, meaning it processes text by predicting what comes next based on patterns learned from a large training dataset. When you give it a prompt, it generates a response token by token, drawing on the relationships it learned during training to produce text that fits the context you've provided.

What makes DeepSeek technically notable is its use of a Mixture of Experts (MoE) architecture. Rather than activating the entire model for every query, MoE routes each input through only the most relevant subset of the model's parameters. This makes inference significantly more efficient: lower compute cost per query, faster response times, and the ability to run a very capable model at a fraction of the cost of a dense architecture.

DeepSeek models are also trained with reinforcement learning from human feedback (RLHF), the same technique used to align ChatGPT, which improves the quality and reliability of responses for open-ended tasks.

What is DeepSeek R1?

DeepSeek R1 is DeepSeek's reasoning-focused model, designed specifically for tasks that require multi-step logical thinking rather than just fluent text generation. Where standard language models generate responses in a single forward pass, R1 is trained to "think through" problems, producing a chain of reasoning before arriving at a final answer.

This makes it particularly strong at math, coding, and analytical tasks where getting the right answer matters more than getting a fast one. DeepSeek R1 benchmarks competitively with OpenAI's o1 reasoning model and is available as an open-source release, which has made it widely adopted by developers who want a capable reasoning model they can run or fine-tune themselves.

Is DeepSeek free?

DeepSeek offers both free and paid access depending on how you use it.

The DeepSeek app and web interface (chat.deepseek.com) are free to use. You can access the full DeepSeek V3 and R1 models through the chat interface at no cost, with no subscription required. The DeepSeek API is paid. Pricing is usage-based and charged per million tokens, significantly cheaper than comparable models from OpenAI. Input tokens cost less than output tokens, and DeepSeek's pricing has been one of its major selling points for teams building on the API at scale.

Self-hosted deployment is free in the sense that the model weights are open source and publicly available, but you pay for the infrastructure required to run them. Running a full DeepSeek model requires substantial compute resources, so self-hosting is practical mainly for organizations with existing GPU infrastructure.

DeepSeek vs. ChatGPT: what's the difference?

DeepSeek and ChatGPT are both capable AI assistants with similar use cases, but they come from very different places and make different trade-offs. Here's how they compare:

Bottom line: If cost efficiency, open-source access, or self-hosting matters to your use case, DeepSeek has a clear advantage. If you need a mature ecosystem, broader third-party integrations, or prefer a US-based provider, ChatGPT remains the stronger choice. Both connect to IFTTT, so whichever you use, you can automate it across your workflow.

4 popular ChatGPT automations

What are DeepSeek's limitations?

DeepSeek's most significant limitation for many users is data privacy. Because DeepSeek AI is a Chinese company, data sent through its API and consumer products is subject to Chinese data regulations. For businesses handling sensitive information, this is a genuine compliance concern, one that has led some organizations and governments to restrict its use entirely.

The consumer app and web interface are also subject to content filtering that can be more restrictive than Western alternatives, particularly on politically sensitive topics. Users who encounter these restrictions often move to self-hosted deployments to get around them, but that requires technical infrastructure most individuals don't have.

DeepSeek's ecosystem is also less mature than ChatGPT's. There's no plugin marketplace, fewer native integrations, and a smaller community of third-party tools built around it. For developers and businesses building on top of the API this is less of an issue, but for end users who want a plug-and-play experience, ChatGPT or Gemini offers more out of the box.

Finally, while DeepSeek's benchmark performance is impressive, real-world performance on nuanced creative or conversational tasks can feel less polished than GPT-4o or Gemini Ultra. The gap is narrowing, but it exists.

How IFTTT works with DeepSeek

DeepSeek generates AI responses. IFTTT decides when to ask, and where to send the answer. Instead of manually prompting DeepSeek every time you need analysis, a summary, or a reply, you build the workflow once and it runs automatically, triggered by an event in another app, with the response routed exactly where you need it.

IFTTT's DeepSeek integration works through a single query: Ask DeepSeek, which returns an AI-generated text response based on the message you provide. That query becomes the middle layer of any automation, something triggers it, DeepSeek generates a response, and IFTTT sends that response wherever it's needed.

Route DeepSeek responses to your team

When a webhook fires or an iOS Shortcut runs, IFTTT can pass a prompt to DeepSeek and post the response directly to Slack, Google Chat, or push it as a notification, without anyone having to open DeepSeek manually.

For teams using DeepSeek for research, analysis, or content drafting, this means AI-generated outputs show up in the tools your team already works in, automatically. A daily briefing lands in Slack. An analysis posts to Google Chat. A summary gets pushed to notifications the moment it's ready.

Save and log DeepSeek replies automatically

Rather than copying responses out of the chat interface, IFTTT can log every DeepSeek reply directly to Google Sheets, Notion, or Google Drive as soon as it's generated.

This is particularly useful for teams running repeated queries: tracking AI-generated responses over time, building a searchable knowledge base, or maintaining an audit trail of outputs without any manual step between DeepSeek and your storage system.

Trigger DeepSeek from anywhere

The flexibility of IFTTT's DeepSeek integration is that the trigger can come from almost anywhere. A webhook from an external system. An iOS Shortcut you run from your phone. A photo taken with your camera widget, which DeepSeek then analyzes. A Google Assistant voice command that kicks off a DeepSeek query and emails you the response.

This means DeepSeek isn't limited to the chat interface, it becomes a reasoning layer that sits inside whatever workflow makes sense for how you actually work.

On-the-go DeepSeek automations

Some of the most useful DeepSeek automations are time or location-based. IFTTT can trigger a DeepSeek query on a schedule, sending a daily Telegram digest of AI-generated summaries or analysis at whatever time you set. Or trigger a response when you enter a specific location, so context-relevant information is waiting for you when you arrive somewhere.

Explore DeepSeek integrations

Slack to DeepSeek

Post AI-generated DeepSeek responses directly to Slack. Useful for teams who want analysis, summaries, or generated content delivered to a shared channel automatically.

• - Post DeepSeek replies to a Slack channel via iOS Shortcuts
• - Route webhook-triggered DeepSeek responses to Slack automatically
• - Keep your team updated with AI-generated outputs without leaving Slack

Set up Slack → DeepSeek

Google Sheets to DeepSeek

Log every DeepSeek reply to a spreadsheet automatically. Useful for tracking AI-generated outputs over time, building searchable archives, or auditing responses at scale.

• - Append DeepSeek replies to Google Sheets via Webhooks
• - Log DeepSeek replies from Android notifications to a spreadsheet
• - Build a running record of AI-generated responses without manual copying

Set up Google Sheets → DeepSeek

Telegram to DeepSeek

Deliver DeepSeek responses to Telegram on a schedule or triggered by location. Useful for individuals who want AI-generated briefings or analysis without opening a separate app.

• - Send DeepSeek replies to Telegram daily at a set time
• - Trigger a DeepSeek response and send it to Telegram when you enter a region
• - Route AI-generated responses to any Telegram chat automatically

Set up Telegram → DeepSeek

10 more ways to automate your AI workflow

DeepSeek is one of many AI tools you can connect and automate on IFTTT. Whether you want to switch models, automate your social content, summarize content on the fly, or build multi-step AI workflows with ChatGPT, Gemini, Claude, and IFTTT AI tools like AI Prompt, AI Summarizer, and more, all in one place.

DeepSeek and IFTTT: better together

DeepSeek is one of the most capable and cost-effective AI models available right now. IFTTT is what takes it beyond the chat interface, turning it into an automated reasoning layer that runs inside your existing tools and workflows, on whatever schedule or trigger makes sense for how you work.

Ready to connect DeepSeek to your workflow? Get started on IFTTT today, no code required.

Frequently asked questions about DeepSeek

Is DeepSeek safe to use?

It depends on your use case and risk tolerance. DeepSeek AI is a Chinese company, which means data processed through its API and consumer products is subject to Chinese law, including potential government access. For personal use and non-sensitive tasks, this is a manageable consideration. For businesses handling regulated data, confidential information, or anything subject to GDPR, HIPAA, or similar frameworks, the data residency implications are worth reviewing carefully before deploying DeepSeek at scale. Self-hosting the open-source model weights is an option for organizations that need full control over where their data goes.

How do I use the DeepSeek API?

To use the DeepSeek API, create an account at platform.deepseek.com, generate an API key, and make requests to the API endpoint using standard HTTP calls. DeepSeek's API follows the same structure as OpenAI's, which means tools and libraries built for the OpenAI API are often compatible with minor modifications. Pricing is usage-based and charged per million tokens, with input and output tokens priced separately. Full documentation is available in DeepSeek's developer docs.

What is the difference between DeepSeek and Gemini?

DeepSeek and Gemini are both capable AI models but come from different companies with different strengths. Gemini is built by Google and integrates natively with Google Workspace, Gmail, Docs, Sheets, and Slides, making it the natural choice for teams already inside Google's ecosystem. DeepSeek is open source, cheaper to run via API, and can be self-hosted, making it more attractive for developers and businesses that want cost control or data sovereignty. For everyday tasks the output quality is comparable; the decision usually comes down to ecosystem fit and data privacy preferences.

Is DeepSeek better than ChatGPT?

On certain benchmarks, particularly coding and mathematical reasoning, DeepSeek R1 matches or exceeds OpenAI's comparable models. On cost, DeepSeek's API pricing is significantly lower. On ecosystem maturity, third-party integrations, and polished consumer experience, ChatGPT is ahead. "Better" depends entirely on what you're optimizing for: if it's performance per dollar or open-source access, DeepSeek has a strong case. If it's breadth of integrations, plugin support, or a US-based provider, ChatGPT remains the more practical choice for most teams.

What is the difference between DeepSeek and Claude?

Claude is developed by Anthropic, a US-based AI safety company, and is widely regarded as one of the strongest models for nuanced writing, long-context document analysis, and instruction-following. DeepSeek tends to outperform Claude on coding and math benchmarks, and has a significant cost advantage at the API level. Claude's main strengths are its handling of very long documents, its careful and measured tone in complex reasoning tasks, and Anthropic's focus on AI safety and alignment. For teams where data residency and US-based infrastructure matter, Claude is the clearer choice. For cost-sensitive API usage or open-source deployments, DeepSeek has the edge.