DeepSeek AI Guide: Chat, Models, Pricing, API and Comparisons

Understand what DeepSeek offers, where to access it safely, and how its hosted chat, API and open-weight models differ. Every current claim on this page was checked against primary documentation on July 30, 2026; no product testing was supplied for this documentation-based review.

Explore DeepSeek Guides · Visit Official DeepSeek↗ — official external destination

Last reviewed: July 30, 2026
Editorial review: Documentation-based research. Read the review methodology.
Change notice: Models, prices, limits, app availability and policies can change. Confirm a decision involving money, security or deployment against the linked official source.

Start here

Three guides cover the most common paths:

• DeepSeek Chat explains the legitimate web and mobile routes, documented modes, useful tasks and limitations.
• DeepSeek pricing separates free hosted chat from metered API billing, local computing costs and third-party fees.
• DeepSeek API shows how to create a key and make a first request without putting a secret in source code.

These are cornerstone pages. More focused articles below link back to them so a reader can move from a specific question to the broader context without encountering a duplicate answer.

What is DeepSeek?

DeepSeek is an AI company and the name used for its hosted assistant, developer API and several model families. A model is the underlying system that generates or analyses content. A chat product adds a user interface, accounts and features around a model. An API lets software send structured requests. Open-weight releases make model files available for use under their accompanying licences and conditions.

That distinction matters. “Using DeepSeek” can mean:

• opening the official hosted chat;
• installing the official mobile app;
• paying for tokens through the first-party API;
• running an open-weight model on compatible local or rented hardware; or
• using an unrelated provider that hosts a DeepSeek model.

Each route has different costs, privacy boundaries, limits and support arrangements. A feature available in a third-party application is not automatically a native DeepSeek feature. Start with What is DeepSeek AI? for the company, model family and access-method overview.

Current models and products

The official API documentation listed deepseek-v4-flash and deepseek-v4-pro when checked on July 30, 2026. The pricing page documented a one-million-token context window and up to 384,000 output tokens for both, with thinking mode, JSON output and tool calling. Those are provider-documented limits, not results from a firsthand load or quality test.

Older names remain important but should not be mistaken for current first-party API identifiers. DeepSeek’s release materials said the legacy deepseek-chat and deepseek-reasoner aliases would become inaccessible after July 24, 2026 at 15:59 UTC. DeepSeek-R1 remains a historically significant reasoning release with open-weight variants; DeepSeek-Coder and DeepSeek-VL are specialised historical or research families with their own repositories and model cards.

The complete DeepSeek model overview marks models as current, historical, research-oriented or locally available. The model selection guide then matches those statuses to practical requirements. Do not select a model from an old tutorial without checking the official model list↗ — official external destination.

Searches for “DeepSeek latest Agent” can also create confusion. Official V4 material describes agentic capabilities and integrations, but this review did not verify a separate first-party product named “DeepSeek Agent.” The agent features clarification separates model capabilities, developer-built tool loops and third-party agents.

How DeepSeek pricing works

There is no single “DeepSeek price.” The cost depends on the access route:

On July 30, 2026, the official API page listed deepseek-v4-flash at $0.0028 per million cache-hit input tokens, $0.14 per million cache-miss input tokens and $0.28 per million output tokens. It listed deepseek-v4-pro at $0.003625, $0.435 and $0.87 respectively. Currency and billing terms should be confirmed on the official pricing page↗ — official external destination immediately before use.

Searches for DeepSeek Pro plans require a clarification: no official consumer plan called DeepSeek Pro, Plus or Team was found in the primary destinations reviewed. A current general DeepSeek free API entitlement was also not documented; a granted balance may exist when DeepSeek assigns one, but that is not evidence that every account receives credit. Read the Pro plan clarification and free API guide before relying on a search snippet or third-party offer.

Coupons, deals and promotion claims

No official DeepSeek coupon code or current general DeepSeek deal was verified on July 30, 2026. That does not prove a promotion can never exist. It means the publication found no current primary-source offer to report. A historical off-peak API discount is not a current coupon and should not be presented as one.

The coupon verification page explains how to check the destination, conditions and expiry date. The deals guide separates official offers, expired promotions, provider-specific deals and unsupported claims. For actual API rates, use the pricing guide, not a coupon directory.

Verified ways to access DeepSeek

The safest starting points are official destinations:

• Web: chat.deepseek.com↗ — official external destination for hosted DeepSeek Chat.
• Mobile: the official app download page↗ — official external destination links to supported iOS and Android distribution. The DeepSeek on Mobile guide covers publisher checks and fake-app avoidance.
• API: platform.deepseek.com↗ — official external destination for developer access and the API documentation↗ — official external destination for current requests and models.
• Local: official DeepSeek repositories and model cards provide model information; runtimes such as Ollama package compatible releases for local use.

No first-party Windows or macOS desktop download was identified in the official destinations checked. Browser installation as a progressive web app may provide an app-like shortcut, but it remains a website. The desktop app guide explains that distinction and lists local alternatives without inventing a product.

API and developer resources

The first-party API uses https://api.deepseek.com as its OpenAI-compatible base URL. A developer still needs a DeepSeek API key, current model ID, billing capacity and production safeguards. Compatibility reduces migration work; it does not make every feature or response shape identical to another provider.

Use these guides for a focused workflow:

• API setup, keys and first request
• OpenAI SDK compatibility
• API pricing per million tokens
• Cost estimation
• Tool calling with validated arguments
• JSON output and schema validation
• Context caching
• Error diagnosis

Tool calling does not give the model unrestricted access to an application. The model proposes a tool and arguments; the developer validates those arguments, checks authorisation, executes approved code and validates the result. JSON mode can improve structure, but applications still need parsing, schema validation, retries and failure handling.

For local deployment, compare Ollama setup, a localhost-bound Docker approach, and the Windows, macOS and Linux guide. Local operation can change where inference happens, but it does not automatically make a system secure or remove licence, dependency and operating costs.

DeepSeek compared with other AI options

No assistant or model family is the universal winner. A useful comparison specifies exact versions and asks which route fits the job.

• DeepSeek vs ChatGPT contrasts the current first-party API with OpenAI’s broad hosted product and model ecosystem.
• DeepSeek vs Claude examines model access, long-context options, pricing and local-deployment differences.
• DeepSeek vs Gemini covers Google ecosystem integration, multimodal inputs and developer routes.
• DeepSeek vs Perplexity distinguishes a model/API ecosystem from a search-centred answer product.
• DeepSeek vs Llama compares two model families, especially for self-hosted work.

The best DeepSeek alternatives groups options by use case rather than manufacturing a universal ranking. Provider plans, model versions and prices were checked on the same date, but they remain volatile.

Practical use cases

DeepSeek can assist with coding, research organisation, learning, reasoning, writing and structured business workflows. The safe unit of value is not “the model answered”; it is “the answer survived the checks appropriate to the task.”

For coding, ask for a plan, constrain the environment, generate a small patch, run tests, inspect dependencies and require human approval before deployment. The DeepSeek for coding workflow and Coder family guide keep code generation separate from verification.

For research, use the model to develop queries, organise notes and identify disagreements. Open the original source before citing it. For learning, request hints, worked examples and self-tests rather than submitting generated work. The student guide covers academic integrity and citation checking.

For writing and business processes, supply the audience, evidence boundary, output format and prohibited assumptions. Review claims, names, figures and commitments. For reasoning, ask the model to state assumptions and provide a checkable answer, not to expose hidden internal reasoning. For sensitive or repeatable work, consider local deployment only after evaluating hardware, model quality, access control and maintenance.

Safety and privacy

“Safe” is not a single product property. It includes service policy, account security, application design, output reliability, data handling, deployment configuration and user behaviour.

DeepSeek’s privacy policy, dated February 10, 2026 when reviewed, describes categories including account information, prompts, uploads, device/network information and usage data. It says personal data is directly collected, processed and stored in the People’s Republic of China. Read the current official privacy policy↗ — official external destination before submitting data.

Do not paste passwords, API keys, confidential contracts, unpublished source code, medical records or personal identifiers into a third-party AI service without a valid organisational decision and appropriate controls. Keep keys in environment variables or a secret manager. Treat generated code and factual answers as untrusted until reviewed. The privacy guide explains the policy in plain language, while Is DeepSeek safe? provides a broader risk checklist.

If access fails, check the official status page↗ — official external destination before changing account settings or repeatedly retrying requests. The connection troubleshooting guide helps separate service incidents from browser, network, account, API and regional causes.

Recently verified guides

All content in this initial pack was published and verified on July 30, 2026. Because every date is the same, the list below is ordered by reader task rather than falsely implying a newer item:

• DeepSeek models explained
• DeepSeek pricing guide
• DeepSeek API guide
• DeepSeek mobile access
• DeepSeek privacy guide

Future ordering should use real updatedAt dates. A date should change only after the article’s relevant sources and claims have been reviewed.

Editorial methodology

This publication prioritises official product pages, API documentation, model repositories, model cards, release notes, legal policies and status pages. Official competitor documentation is used for comparison facts. Strong third-party research is appropriate when a primary source does not answer the question, but community and competitor pages are not treated as sole evidence for important claims.

Every article identifies its sources and verification date. Changing facts are held in a central register so the next publishing phase can update prices, model availability, context limits, app links, promotion status and policies consistently. Provider performance claims are attributed rather than presented as reproduced results.

The review type is documentation, because no firsthand test record was supplied. The author label is Smith D.; no credentials, employer, reviewer or testing experience has been invented. Corrections can be sent to Contact@dpseek.online. See the complete editorial and corrections methodology.