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# Chat-Deep.ai: Free DeepSeek AI Chat

## Sitemaps
[XML Sitemap](https://chat-deep.ai/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [DeepSeek API Timeout: Keep-Alive, Long Requests, and Fixes](https://chat-deep.ai/docs/deepseek-api-keep-alive-timeouts/): A DeepSeek API timeout can be a client deadline, idle-read limit, proxy cutoff, runtime limit, or DeepSeek closing a request that has not begun inference. The fix depends on which clock expired.
- [How to Migrate deepseek-chat and deepseek-reasoner to DeepSeek V4](https://chat-deep.ai/docs/migrate-deepseek-chat-reasoner-to-v4/): To migrate deepseek-chat to DeepSeek V4 without changing its behavior, use deepseek-v4-flash and explicitly disable thinking. To migrate deepseek-reasoner, use deepseek-v4-flash and explicitly enable thinking.
- [DeepSeek Anthropic API Compatibility: Complete Field Mapping](https://chat-deep.ai/docs/deepseek-anthropic-api-compatibility/): DeepSeek Anthropic API compatibility lets an Anthropic Messages client call DeepSeek by changing the SDK base URL, API key, and model value—but it is not full Claude feature parity. DeepSeek supports core text, system prompts, streaming, thinking, and tool-use fields, while it ignores or rejects several Anthropic-specific fields and content blocks.
- [How to Read DeepSeek Token Usage and Cache Fields](https://chat-deep.ai/docs/deepseek-token-usage-fields/): DeepSeek token usage is reported in the usage object of a Chat Completions response. The key is to separate input tokens that hit the context cache from input tokens that miss it, then treat generated tokens as a third billing bucket. This guide shows how to read every field, verify the totals, calculate cache-hit rate and estimated cost, and capture usage in Node.js, Python, and streamed responses.
- [DeepSeek vs Regional AI Models: Which One Fits Your Language, Market, and Data Needs?](https://chat-deep.ai/comparison/deepseek-regional-ai-models/): Last reviewed: July 21, 2026 · Method: official model cards, product documentation, and release pages. This is an independent comparison; Chat-Deep.ai is not affiliated with DeepSeek or any model developer named below.
- [DeepSeek for Marketing and Content Teams: Research, Campaigns, SEO, Localization, and Governance](https://chat-deep.ai/solutions/deepseek-marketing-content-teams/): DeepSeek can help marketing and content teams turn approved source material into research summaries, message frameworks, briefs, drafts, variants, translations, and campaign analyses. It is most useful as a language and reasoning layer inside an editorial process—not as an independent source of facts, a substitute for customer insight, or an automatic publishing system.
- [DeepSeek for Industrial and Operational Workflows: Manufacturing, Energy, Logistics, and Engineering](https://chat-deep.ai/solutions/deepseek-industrial-operational-workflows/): Industrial organizations produce large volumes of text and semi-structured data: maintenance notes, work orders, inspection reports, supplier documents, operating procedures, engineering change requests, quality records, shipment exceptions, field-service reports, and incident narratives. DeepSeek can help people search, classify, compare, summarize, and draft material from these sources when it is deployed with suitable data controls and human review.
- [DeepSeek for Customer Operations and Commerce: Support, Sales, Ecommerce, and Service Workflows](https://chat-deep.ai/solutions/deepseek-customer-operations-commerce/): DeepSeek can help customer-facing teams classify requests, retrieve approved information, draft responses, summarize conversations, and propose actions. It is not a helpdesk, CRM, ecommerce platform, telephony service, or autonomous decision-maker. A production implementation still needs business data, permission checks, workflow software, validation, monitoring, and people who remain accountable for the outcome.
- [DeepSeek Mobile App Development: Build iOS and Android AI Features with the DeepSeek API](https://chat-deep.ai/docs/deepseek-mobile-app-development/): DeepSeek Mobile App Development is not just about downloading the official DeepSeek app. For startups, SaaS teams, enterprises, and mobile product owners, it means building custom iOS and Android features that use the DeepSeek API inside your own mobile experience.
- [DeepSeek Synthetic Data Generation: Test Data, Privacy-Safe Samples, Evaluation Sets, and Quality Checks](https://chat-deep.ai/docs/deepseek-synthetic-data-generation/): DeepSeek synthetic data generation means using DeepSeek as a generative component to create fictional but useful data for testing, demos, evaluation, and model-development workflows. It can help teams produce structured JSON records, edge cases, RAG questions, extraction examples, classification labels, and agent scenarios. However, DeepSeek does not make data private by default. A safe workflow needs four pillars: synthetic test data, privacy-safe samples, evaluation sets, and quality checks. The official DeepSeek API supports OpenAI-compatible calls and JSON Output, but the application still needs schema validation, privacy review, duplicate detection, and human quality gates before any generated data is used in production.
- [DeepSeek Prompt Injection Defense: How to Secure RAG, Agents, Tools, and User-Uploaded Documents](https://chat-deep.ai/privacy-security/deepseek-prompt-injection-defense/): DeepSeek prompt injection defense is a defense-in-depth approach for preventing untrusted instructions from steering DeepSeek-powered applications, especially when they use RAG, tools, agents, memory, or uploaded documents.
- [DeepSeek A/B Testing: Compare Prompts, Models, and Workflows Before Production Rollout](https://chat-deep.ai/docs/deepseek-ab-testing/): Last reviewed: June 21, 2026.
- [DeepSeek Vector Database Guide: Qdrant, Pinecone, Weaviate, Chroma, and Milvus for RAG](https://chat-deep.ai/docs/deepseek-vector-database-guide/): A DeepSeek Vector Database usually means a RAG architecture where DeepSeek is the LLM that generates the answer, while a separate vector database stores and retrieves embeddings. DeepSeek’s official API documentation focuses on chat/reasoning access through OpenAI-compatible and Anthropic-compatible formats, so you should not treat DeepSeek itself as the vector store.
- [DeepSeek Evaluation Framework: Golden Datasets, Regression Tests, Hallucination Scoring, and Human Review](https://chat-deep.ai/docs/deepseek-evaluation-framework/): A DeepSeek Evaluation Framework is a production-grade system for testing whether a DeepSeek-powered application is accurate, grounded, safe, reliable, and worth shipping. It is not just a benchmark score. It is the combination of golden datasets, automated metrics, regression tests, hallucination scoring, human review, and monitoring loops that keep your AI product from silently degrading after prompt changes, retrieval updates, tool changes, or model upgrades.
- [DeepSeek Observability: Logs, Traces, Token Metrics, Quality Monitoring, and Incident Alerts](https://chat-deep.ai/docs/deepseek-observability/): Last reviewed: June 20, 2026.
- [Using DeepSeek for Accessibility Workflows: Alt Text, Plain Language, WCAG Tickets, and Inclusive Support](https://chat-deep.ai/use-cases/deepseek-accessibility-workflows/): Last reviewed: June 20, 2026.
- [DeepSeek for Game Developers and Indie Studios: Lore, Dialogue, QA Notes, Level Ideas, and Player Support](https://chat-deep.ai/use-cases/deepseek-for-game-developers/): DeepSeek for game developers and indie studios is best understood as a production assistant, not a replacement for writers, designers, programmers, QA testers, or support teams. Used well, it can help small teams turn rough ideas into structured documents, draft NPC dialogue, organize messy playtest notes, generate level concepts within constraints, and prepare player support responses for human review.
- [DeepSeek for Webflow and Framer: AI Workflows for Landing Pages, CMS Content, and SEO Drafts](https://chat-deep.ai/integrations/deepseek-webflow-framer/): DeepSeek for Webflow and Framer means using DeepSeek as an AI workflow layer for planning, drafting, structuring, and reviewing website content before it goes live in Webflow or Framer. It does not mean DeepSeek replaces either platform. Webflow and Framer remain the design, CMS, SEO, and publishing environments; DeepSeek helps produce better inputs for those systems.
- [DeepSeek for Obsidian and Personal Knowledge Management: Notes, Summaries, Zettelkasten, and Research Workflows](https://chat-deep.ai/use-cases/deepseek-for-obsidian-pkm/): Last reviewed: June 2026
- [DeepSeek for Pipedream: Developer-Friendly AI Automations with APIs, Webhooks, and Serverless Workflows](https://chat-deep.ai/integrations/deepseek-pipedream/): DeepSeek for Pipedream means using DeepSeek’s API inside Pipedream workflows to automate AI tasks triggered by webhooks, schedules, app events, or direct API calls. For developers, this is a practical way to build AI-powered automations without deploying and maintaining a dedicated backend server.
- [DeepSeek for Retool: Build Internal AI Tools for Support, Operations, and Analytics](https://chat-deep.ai/integrations/deepseek-retool/): Yes, Retool can use DeepSeek by connecting DeepSeek as a custom AI provider through an OpenAI-compatible API endpoint. Retool’s Custom AI Provider resource is designed for AI services that implement the OpenAI-compatible API format, while DeepSeek’s API documentation states that DeepSeek can be accessed through an OpenAI-compatible format using https://api.deepseek.com as the OpenAI base URL.
- [DeepSeek for Google Workspace: Docs, Drive, Gmail, Calendar, and Cross-App AI Workflows](https://chat-deep.ai/integrations/deepseek-google-workspace/): DeepSeek for Google Workspace usually means connecting DeepSeek’s AI models to Google Docs, Google Drive, Gmail, Google Calendar, and related Workspace apps through APIs, no-code automation tools, Apps Script, Workspace add-ons, or agent workflows. It does not usually mean that DeepSeek is built into Google Workspace natively in the same way Gemini is.
- [DeepSeek for Shopify and WooCommerce: Ecommerce Automation with APIs, Returns, Support, and Product Content](https://chat-deep.ai/integrations/deepseek-shopify-woocommerce/): Ecommerce teams are looking at DeepSeek for Shopify and WooCommerce because product catalogs, customer tickets, return requests, reviews, and operational reports create a constant stream of repetitive writing and classification work. The opportunity is not “AI magic.” The real value is workflow design: sending the right store data to DeepSeek, asking for structured output, validating the result, and routing it to the right person or system.
- [DeepSeek for Gmail and Outlook: Email Triage, Smart Drafts, Summaries, and Safe Automation](https://chat-deep.ai/integrations/deepseek-gmail-outlook/): DeepSeek can be used with Gmail and Outlook through add-ons, automation tools, or custom API workflows. The strongest use cases are triage, draft generation, summarization, and controlled automation—but the safest setups keep humans in approval loops. In practice, “DeepSeek for Gmail and Outlook” usually means connecting your inbox to a DeepSeek model through a trusted extension, a no-code workflow builder, or a custom integration that sends selected email content to DeepSeek and returns labels, summaries, draft replies, or recommended actions. The key is not just productivity. The key is building an AI email assistant that respects permissions, privacy, and approval boundaries.
- [DeepSeek for ServiceNow and Jira Service Management: AI Ticket Triage, Knowledge Suggestions, and Escalation](https://chat-deep.ai/integrations/deepseek-servicenow-jira-service-management/): For a broader overview of AI use cases across support operations, see our DeepSeek for IT Service Desks guide, not replacing the platforms that run service operations. In a practical enterprise setup, ServiceNow and Jira Service Management remain the systems of record for tickets, SLAs, approvals, workflows, audit trails, services, configuration items, and reporting. DeepSeek can support the work around those records: classifying tickets, summarizing long incident histories, suggesting knowledge articles, drafting agent responses, and recommending escalation paths.
- [DeepSeek for Jira, Confluence, and Linear: Product Specs, Sprint Planning, and Engineering Handoffs](https://chat-deep.ai/integrations/deepseek-jira-confluence-linear/): Last updated: June 2026
- [DeepSeek for Zendesk, Intercom, and Freshdesk: Customer Support Automation with Guardrails](https://chat-deep.ai/integrations/deepseek-zendesk-intercom-freshdesk/): Last updated: June 2026
- [DeepSeek for Slack: Build a Safe Team AI Assistant with Channel Summaries, Q&A, and Human Review](https://chat-deep.ai/integrations/deepseek-for-slack/): Last updated: June 14, 2026
- [DeepSeek for Microsoft Teams: Integration Options, Use Cases, Security, and Setup Guide](https://chat-deep.ai/integrations/deepseek-for-microsoft-teams/): Last checked: July 14, 2026.
- [DeepSeek for Pharma and Biotech Teams: Use Cases, Risks, and Implementation Guide](https://chat-deep.ai/solutions/deepseek-for-pharma-biotech/): Last updated: June 12, 2026
- [DeepSeek for Journalism and Newsrooms: Use Cases, Risks, and Editorial Safeguards](https://chat-deep.ai/solutions/deepseek-for-journalism-newsrooms/): Last updated: June 12, 2026
- [DeepSeek for Banking Operations: Use Cases, Risks, and Implementation Roadmap](https://chat-deep.ai/solutions/deepseek-for-banking-operations/): Last updated: June 10, 2026
- [DeepSeek for Government and Public Sector: Use Cases, Risks, Compliance, and Safe Deployment Options](https://chat-deep.ai/solutions/deepseek-for-government-public-sector/): Last updated: June 2026
- [DeepSeek for Discord Communities](https://chat-deep.ai/integrations/deepseek-for-discord-communities/): Last reviewed: June 12, 2026
- [DeepSeek for WhatsApp Business and Telegram Bots: Complete 2026 Setup Guide](https://chat-deep.ai/integrations/deepseek-whatsapp-telegram-bots/): DeepSeek for WhatsApp Business and Telegram Bots is a practical way to add AI replies, lead qualification, knowledge-base answers, and customer support automation to two of the world’s most used messaging channels. The core idea is simple: receive a message from WhatsApp or Telegram, send it to the DeepSeek API through a secure backend or workflow tool, apply business rules, and return a useful answer.
- [DeepSeek for Insurance: Use Cases, Benefits, Risks, and Implementation Guide](https://chat-deep.ai/solutions/deepseek-for-insurance/): DeepSeek for Insurance is becoming a serious discussion for carriers, reinsurers, MGAs, brokers, and InsurTech companies that want lower-cost AI experimentation, stronger reasoning workflows, and more control over model deployment. Insurance is a document-heavy, decision-heavy, regulated industry, which makes it a natural fit for generative AI. But DeepSeek is not a plug-and-play insurance solution. Any insurer considering it must evaluate data privacy, cross-border transfer risk, model accuracy, hallucinations, unfair discrimination, auditability, cybersecurity, and regulatory compliance before using it with policyholder or claims data.
- [DeepSeek for Internal Audit and GRC: Use Cases, Risks, Controls, and Implementation Roadmap](https://chat-deep.ai/solutions/deepseek-for-internal-audit-grc/): DeepSeek for Internal Audit and GRC can support audit planning, evidence summarization, risk analysis, control mapping, compliance research, issue tracking, and first-draft reporting. However, it should be treated as a governed AI reasoning layer—not a replacement for auditors, compliance teams, GRC platforms, or professional judgment.
- [DeepSeek for Notion: How to Connect DeepSeek to Notion](https://chat-deep.ai/integrations/deepseek-for-notion/): DeepSeek for Notion can mean several different things: using DeepSeek inside Notion AI, connecting DeepSeek to Notion through automation, saving DeepSeek conversations into a Notion database, or building a custom integration with the DeepSeek API and Notion API.
- [DeepSeek Privacy and LGPD: What Brazilian Users and Businesses Need to Know](https://chat-deep.ai/privacy-security/deepseek-privacy-and-lgpd/): Searches for DeepSeek Privacy LGPD usually come from one practical concern: can Brazilian users and companies use DeepSeek without creating privacy or compliance problems under Brazil’s Lei Geral de Proteção de Dados, known as the LGPD?
- [DeepSeek PII Redaction and DLP: How to Prevent Sensitive Data Leakage](https://chat-deep.ai/privacy-security/deepseek-pii-redaction-and-dlp/): Employees already use AI tools to summarize documents, debug code, draft emails, review contracts, and analyze customer data. That creates a simple but serious risk: someone may paste PII, PHI, PCI data, credentials, source code, contracts, HR files, legal documents, or internal strategy into DeepSeek without realizing the data protection impact.
- [How to Integrate DeepSeek with WordPress: Complete 2026 Guide](https://chat-deep.ai/integrations/deepseek-for-wordpress/): Last verified: June 9, 2026.
- [Kubernetes Deployment for DeepSeek: Production-Ready Guide](https://chat-deep.ai/guide/deepseek-kubernetes-deployment/): Last updated: June 1, 2026
- [DeepSeek on Azure for Enterprise Teams: Secure Deployment, Governance, and Cost Guide](https://chat-deep.ai/guide/deepseek-on-azure-enterprise/): Last checked: July 14, 2026.
- [DeepSeek Gateway / Proxy Architecture for Enterprises](https://chat-deep.ai/guide/deepseek-gateway-proxy-architecture/): Last updated: June 2026
- [DeepSeek on GCP for Long-Context Workloads: Architecture, Cost, and Scaling Guide](https://chat-deep.ai/guide/deepseek-on-gcp-long-context/): DeepSeek on GCP for Long-Context Workloads is a practical choice for teams that need to process large documents, multi-file codebases, research archives, legal contracts, financial filings, or agent memory without managing every layer of GPU infrastructure themselves.
- [DeepSeek for Data Cleaning & QA: How to Clean, Validate, and Audit Data with AI](https://chat-deep.ai/use-cases/deepseek-for-data-cleaning-qa/): Last updated: June 3, 2026
- [DeepSeek for Tableau and Looker Studio/Data Studio: AI-Powered BI Dashboard Workflows](https://chat-deep.ai/guide/deepseek-tableau-data-studio/): Last updated: June 3, 2026
- [DeepSeek for Dashboard Narratives: How to Turn BI Metrics into Executive-Ready Insights](https://chat-deep.ai/use-cases/deepseek-for-dashboard-narratives/): Last updated: June 3, 2026
- [DeepSeek for Excel Analysis: How to Analyze Spreadsheets, Create Formulas, and Find Insights](https://chat-deep.ai/use-cases/deepseek-for-excel-analysis/): DeepSeek for Excel Analysis can help you understand spreadsheet data, generate Excel formulas, write VBA or Python code, summarize trends, detect possible anomalies, and create analysis plans. However, DeepSeek should not be treated as a guaranteed calculator. Use it for guidance, explanations, formulas, and insight generation, then verify exact calculations in Excel, Python, SQL, or a trusted BI tool.
- [DeepSeek STT, TTS, and Telephony Architecture: Real-Time Phone Agent Blueprint](https://chat-deep.ai/solutions/deepseek-stt-tts-telephony-architecture/): A DeepSeek STT TTS Telephony Architecture connects live phone audio to a real-time AI agent. The caller speaks through PSTN, SIP, or WebRTC; a telephony bridge streams audio to your backend; speech-to-text converts the caller’s voice into text; DeepSeek acts as the reasoning and tool-calling layer; text-to-speech turns the answer back into audio; and the telephony layer plays it to the caller.

## Pages
- [Is DeepSeek Open Source? And Does That Make It Safer?](https://chat-deep.ai/models/is-deepseek-open-source/): Last updated: May 2026
- [DeepSeek-R1-0528: Benchmarks, Specs, API Status & How to Use](https://chat-deep.ai/models/deepseek-r1-0528/): Last updated: July 11, 2026
- [Editorial Policy](https://chat-deep.ai/editorial-policy/): Last reviewed: May 12, 2026Last updated: May 12, 2026Editorial contact: info@chat-deep.ai
- [DeepSeek OCR: Complete Guide to Optical Context Compression, Setup, Benchmarks, and OCR 2](https://chat-deep.ai/models/deepseek-ocr/): Last verified: May 6, 2026
- [DeepSeek V4 Preview: Pro vs Flash, Specifications, API Access and Download](https://chat-deep.ai/models/deepseek-v4/): Last verified: July 16, 2026
- [DeepSeek Research Papers: Complete Guide to DeepSeek AI Research](https://chat-deep.ai/research/): Last updated: May 10, 2026
- [DeepSeek Models](https://chat-deep.ai/models/): Last verified: July 16, 2026.
- [Is DeepSeek Down? Live DeepSeek Status Checker](https://chat-deep.ai/status/): Use this page to check whether DeepSeek is down right now. We combine live status signals, independent reachability checks, response time monitoring, user reports, and recent incident data to help you understand if the issue is global or only affecting your connection.
- [DeepSeek API Cost Calculator](https://chat-deep.ai/pricing/deepseek-api-cost-calculator/): Estimate DeepSeek API costs before you build. This calculator helps you forecast per-request, daily, monthly, and yearly spend for both deepseek-v4-flash and deepseek-v4-pro using current DeepSeek V4 API pricing, including cache-hit discounts. The legacy deepseek-chat and deepseek-reasoner aliases now map to V4-Flash non-thinking and thinking modes.
- [DeepSeek Login – Official Sign-In & No-Account Alternative](https://chat-deep.ai/deepseek-login/): Last reviewed: April 24, 2026. This DeepSeek login guide helps you choose the correct official sign-in path for DeepSeek Chat, the DeepSeek mobile app, and the DeepSeek developer platform. It also explains the no-login alternative available on Chat-Deep.ai.
- [DeepSeek R1](https://chat-deep.ai/models/deepseek-r1/): DeepSeek R1 is an open reasoning model from DeepSeek built to handle complex math, coding, logic, and multi-step problem-solving tasks. Released on January 20, 2025, DeepSeek R1 attracted attention because it made strong reasoning performance available through open model weights, a technical report, distilled variants, web access, and API access. DeepSeek’s official release described the model as MIT licensed and positioned its math, code, and reasoning performance as comparable with OpenAI o1.
- [Security](https://chat-deep.ai/security/): Last reviewed: July 12, 2026
- [DeepSeek-V3.2](https://chat-deep.ai/models/deepseek-v3-2/): Last reviewed: April 24, 2026
- [DeepSeek V3.1](https://chat-deep.ai/models/deepseek-v3-1/): Historical model page: This page covers DeepSeek V3.1 as a historical DeepSeek release from August 2025. It is kept for release context, model-history research, open-weight reference, and older API-alias interpretation. It is not a live hosted API model-selection guide, pricing guide, or deployment checklist.
- [Disclaimer](https://chat-deep.ai/disclaimer/): Effective Date: July 12, 2026Last Updated: July 12, 2026
- [Cookie Policy](https://chat-deep.ai/cookie-policy/): Last updated: April 28, 2026
- [Contact Us](https://chat-deep.ai/contact/): For general questions, feedback, corrections, or website-related requests, you can contact us by email or use the form below.
- [Features](https://chat-deep.ai/features/): Last verified: July 15, 2026
- [Pricing](https://chat-deep.ai/pricing/): Quick answer: DeepSeek pricing has two different meanings. The official DeepSeek web and app chat experience is free to access, while the official DeepSeek API is usage-based and billed by tokens. Current official API models are deepseek-v4-flash and deepseek-v4-pro. API input tokens are split into cheaper cache-hit input and higher cache-miss input, while generated responses are billed as output tokens. As of July 10, 2026, DeepSeek lists V4 Flash at $0.0028 cache-hit input, $0.14 cache-miss input, and $0.28 output per 1M tokens. V4 Pro is listed at $0.003625 cache-hit input, $0.435 cache-miss input, and $0.87 output per 1M tokens. Always verify production budgets against the official DeepSeek Models & Pricing page.
- [DeepSeek Chat Online: Free AI Chat Without Sign-Up](https://chat-deep.ai/deepseek-chat/): Last verified: July 16, 2026
- [App](https://chat-deep.ai/app/): Looking for the DeepSeek app? This guide explains where to download the official DeepSeek AI app for iPhone and Android, how to avoid fake download pages, and when to use Chat-Deep.ai as a fast browser-based alternative with no Chat-Deep.ai account required for normal use.
- [FAQ](https://chat-deep.ai/faq/): Last reviewed: April 24, 2026. This FAQ explains how Chat-Deep.ai works, how it differs from official DeepSeek services, and where to find the correct official links for account access, app downloads, API access, pricing, status, privacy, and support.
- [Terms of Service](https://chat-deep.ai/terms/): Effective Date: July 14, 2026Last Verified: July 14, 2026
- [Privacy Policy](https://chat-deep.ai/privacy-policy/): Effective Date: July 14, 2026Last Verified: July 14, 2026
- [About Us](https://chat-deep.ai/about/): Last reviewed: July 12, 2026
- [DeepSeek V2: Historical Overview of a 2024 MoE Milestone](https://chat-deep.ai/models/deepseek-v2/): Last reviewed: April 25, 2026
- [DeepSeek Coder: Historical Coding Model Family Overview](https://chat-deep.ai/models/deepseek-coder/): Last reviewed: April 24, 2026
- [DeepSeek-V3: Historical Model Overview and Architecture Notes](https://chat-deep.ai/models/deepseek-v3/): Historical model page: This page covers DeepSeek V3 as a historical release from December 2024. It is kept for reference, architecture notes, release context, and timeline research. It is not a live model-selection guide, pricing guide, or API implementation guide.
- [DeepSeek AI](https://chat-deep.ai/): var adLoaded = false;