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All DeepSeek models available in 2025: full list for web, app, and API with reasoning and advanced context support

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DeepSeek now offers high-performance models across chat, app, and API endpoints for reasoning and structured analysis.

As of August 2025, DeepSeek has positioned itself as a focused AI platform for users seeking long-context reasoning, scientific exploration, and developer-grade precision. With two core model families—DeepSeek-V3 and DeepSeek-R1—the platform supports structured multi-step outputs, file upload, and direct integration through both its web interface and a dedicated API.

This article outlines all current DeepSeek models available across web, mobile, and API, including context windows, model IDs, and functional differences.



DeepSeek web offers V3 and R1 with long-context capabilities.

The official DeepSeek Chat interface gives users access to two selectable models as of mid-2025. Both are designed to handle complex tasks with large context lengths.


● DeepSeek-V3

This is the default chat model on web. Optimized for general-purpose use, DeepSeek-V3 balances speed and accuracy across coding, summarization, and light reasoning. It supports web search, citations, and dynamic follow-up in conversational threads. The model’s performance is tuned for structured completions, offering reliable consistency in output formatting.


● DeepSeek-R1

Introduced in May 2025, DeepSeek-R1 is the platform’s dedicated reasoning model, specialized in chain-of-thought prompting, mathematical reasoning, planning, and synthesis of long documents. Available directly in the chat UI, it provides significantly improved structure in multi-step outputs. It's also the preferred model for logic-heavy workflows and formal reports.

Both models support 64k-token contexts, enabling ingestion and analysis of long documents without truncation.



DeepSeek mobile apps include V3 and R1 with native file and search support.

The official DeepSeek app—available for iOS and Android—includes both DeepSeek-V3 and DeepSeek-R1. Mobile features mirror the web version, with added support for:

  • File upload: PDF, DOCX, and TXT files for contextual Q&A and summarization

  • "Deep-Think" mode: invokes R1 for structured step-by-step logic

  • Web search integration: returns grounded results during exploratory queries

The apps also support user history, night mode, and syncing with API usage via login credentials. R1’s rollout on mobile was confirmed in platform updates during June–July 2025.



DeepSeek API offers developer access to V3 and R1 with full version control.

Developers can access DeepSeek models via its official API platform, which exposes two primary models under stable IDs. These can be called using standard OpenAI-compatible parameters or via the platform’s custom SDK.

Model Name

API Identifier

Release Version

Core Use Case

DeepSeek-V3

deepseek-chat

DeepSeek-V3-0324

General chat, code, writing

DeepSeek-R1

deepseek-reasoner

DeepSeek-R1-0528

Chain-of-thought, research, logic

Both models support the same 64k-token context window, with configurable max_tokens limits (up to 32k or 64k depending on output constraints). For DeepSeek-R1, the prompt window is token-efficient, as the output (reasoning + result) is excluded from context usage calculations—an architectural feature designed to optimize long-chain reasoning workflows.


The API supports streaming, file uploads, function calling, and deterministic output settings. Pricing is competitive with other frontier models and scales linearly with usage.



DeepSeek also provides cloud integration, version snapshots, and research-grade transparency.

Beyond user access, DeepSeek maintains:

  • A status page that shows real-time uptime for both API and web chat

  • Official model papers and release notes for R1, outlining architectural distinctions and performance vs. benchmarks

  • GitHub repositories with open variants of the DeepSeek-R1 model, used for fine-tuning, distillation, or on-prem deployment (note: these open versions are not used in the production DeepSeek platform)


All model updates follow a versioned pattern (e.g., R1-0528 for the May 28, 2025 release), allowing developers to lock usage to specific builds for reproducibility.



Choosing between DeepSeek models depends on logic depth, latency, and format needs.

DeepSeek’s model lineup is designed to cover the full spectrum from conversational queries to advanced reasoning. Here’s a guide to selecting the right variant:

  • For general completions, summaries, and chat-like use → use DeepSeek-V3

  • For chain-of-thought outputs, structured step-by-step tasks, and research synthesis → use DeepSeek-R1

  • For file-based interaction → use either model in the web or mobile app

  • For long-context technical work → use DeepSeek-R1 via API


In contrast to platforms like OpenAI or Anthropic, DeepSeek focuses on transparency, minimal abstraction, and task-centric control, giving developers a precise way to engineer logical workflows without extra layers.



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