Tag: Claude

  • Does Claude AI Store Your Data? Privacy, Security, and Compliance Explained

    Does Claude AI Store Your Data? Privacy, Security, and Compliance Explained

    Last refreshed: June 9, 2026

    Claude AI · Fitted Claude

    Claude’s privacy practices are more nuanced than most users realize — and Anthropic buries the details across multiple support pages. This guide consolidates everything you need to know: what data is collected, how long it’s kept, who can see it, and what you can do to protect your privacy.

    Claude AI Data Privacy: Quick Reference (June 2026)

    Question claude.ai (Free/Pro/Max) API Enterprise
    Conversations stored? Yes, unless you delete them Not by default Configurable
    Used to train models? Yes (opt-out available) No No (contractual)
    Human review possible? Yes (Trust & Safety) Limited No (contractual)
    Data deletion? On request / account deletion Not stored Per contract
    HIPAA ready? No With BAA (Enterprise) Yes
    SOC 2 Type II? Yes (Anthropic-wide) Yes Yes

    What Data Claude Collects

    When you use Claude.ai, Anthropic collects:

    • Conversation content: Your messages and Claude’s responses
    • Uploaded files: Documents, images, and PDFs you share in conversations
    • Account information: Email, name, and payment information (for paid plans)
    • Usage data: How you interact with the interface, features used, session timing

    How Long Anthropic Keeps Your Data

    By default, Anthropic retains conversation data for up to five years from the date of the conversation. You can delete individual conversations or request full account deletion through the Claude.ai interface, which will remove your data from Anthropic’s systems on an expedited basis.

    Is Claude Used to Train Future Models?

    This is the question most users want answered clearly. Here’s the breakdown:

    Consumer Accounts (Claude.ai free and paid plans)

    By default, Anthropic may use conversations from consumer accounts to improve its models. You can opt out of this. Go to Settings → Privacy → Data Usage in Claude.ai and toggle off “Allow my conversations to be used for training.”

    Business and API Accounts

    Anthropic does not use API or enterprise customer data for model training by default. Business customers can also access zero-data-retention (ZDR) options, where conversation data is not logged or stored beyond the immediate session.

    Who Can Access Your Conversations?

    • Anthropic employees: Can access conversations for safety review, legal compliance, or quality improvement purposes — governed by internal access controls
    • Third parties: Anthropic does not sell conversation data to advertisers or third parties
    • Law enforcement: Anthropic will comply with valid legal requests (subpoenas, court orders) as required by US law

    Privacy Best Practices

    • Opt out of training data use in Settings if you use the consumer interface for sensitive work
    • Use API or enterprise accounts for work involving confidential client information
    • Don’t paste genuinely sensitive data (SSNs, financial account numbers) into any AI interface
    • Delete conversations containing sensitive information after use
    • Consider Claude for Teams or Enterprise for business use cases requiring formal DPA agreements

    Frequently Asked Questions

    Does Claude sell my data?

    No. Anthropic does not sell conversation data to advertisers or third parties.

    Can I opt out of Claude training on my conversations?

    Yes. Go to Settings → Privacy → Data Usage in Claude.ai and toggle off “Allow my conversations to be used for training.”

    Is Claude HIPAA compliant?

    Anthropic offers HIPAA-eligible configurations for enterprise customers. Standard consumer Claude.ai accounts are not HIPAA compliant. Contact Anthropic’s enterprise team for healthcare-specific compliance arrangements.



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    Frequently Asked Questions

    Does Claude AI store my conversations?

    On claude.ai (Free, Pro, Max, Team plans), Anthropic stores your conversations and may use them to improve models unless you opt out. You can delete conversations at any time from your account settings. API usage is not stored by default. Enterprise customers get contractual guarantees that data is not used for training.

    Does Anthropic use my Claude conversations to train AI?

    By default on claude.ai, Anthropic may use your conversations to improve its models. You can opt out in Settings > Privacy. API users’ data is not used for training by default. Enterprise customers have contractual protections preventing training on their data.

    Is Claude HIPAA compliant?

    Claude.ai (consumer plans) is not HIPAA compliant. The Claude API with an Enterprise agreement and Business Associate Agreement (BAA) can be HIPAA ready. If you need to process protected health information, you need an Enterprise contract — not a standard Pro or Max subscription.

    How do I delete my Claude conversation history?

    In claude.ai, go to Settings > Privacy and select the option to delete conversation history. You can delete individual conversations from the sidebar or clear all history at once. Account deletion removes all stored data subject to Anthropic’s retention policies.

    Is Claude safe to use for confidential business information?

    For highly confidential business data, the Claude API (which doesn’t store data by default) or an Enterprise agreement (with contractual data protections) are more appropriate than claude.ai consumer plans. Claude Enterprise includes SAML SSO, admin controls, and contractual guarantees about data use.

    Does Claude have SOC 2 certification?

    Yes. Anthropic is SOC 2 Type II certified, covering the full Anthropic platform including Claude API and enterprise deployments. SOC 2 reports are available to enterprise customers under NDA through Anthropic’s trust portal at trust.anthropic.com.

  • Dario Amodei: CEO of Anthropic and the Future of AI Safety

    Dario Amodei: CEO of Anthropic and the Future of AI Safety

    Last refreshed: May 15, 2026

    Claude AI · Fitted Claude

    Dario Amodei is the CEO and co-founder of Anthropic, the AI safety company behind Claude. His trajectory — Princeton physics, Stanford PhD, OpenAI VP of Research, then Anthropic founder — traces the arc of modern AI development. Forbes estimated his net worth at $7 billion as of February 2026, reflecting his co-founder equity as Anthropic approaches a potential IPO.

    Early Life and Education

    Dario Amodei grew up in a family with deep intellectual roots — his father is a physician, his mother a chemist. He studied physics at Princeton University before earning a PhD in computational neuroscience at Stanford, where he researched the intersection of neural computation and machine learning. The neuroscience background proved directly relevant: understanding how biological neural networks process information informed his later work on understanding artificial ones.

    Career at OpenAI

    Amodei joined OpenAI in 2016 as a research scientist and rose to become Vice President of Research — one of the most senior technical roles in the organization during the period when OpenAI produced GPT-2, GPT-3, and early versions of DALL-E. His tenure coincided with OpenAI’s most productive research period and its transition from a pure research organization to a company with significant commercial ambitions.

    By 2021, Amodei and a group of colleagues had grown increasingly concerned that OpenAI’s commercial trajectory — particularly its deepening partnership with Microsoft — was creating tensions with rigorous AI safety research. The concerns were not primarily about OpenAI’s intentions but about whether a company under those commercial pressures could systematically prioritize safety as its primary obligation.

    Co-Founding Anthropic

    In 2021, Amodei led the founding of Anthropic alongside his sister Daniela Amodei, Jared Kaplan, Chris Olah, Tom Brown, Sam McCandlish, and Jack Clark. The company was structured as a public benefit corporation — a legal form that formally embeds the safety mission into its governing documents, creating accountability beyond a standard corporate charter.

    Amodei has consistently articulated a position that sits between AI pessimism and uncritical optimism: he believes advanced AI poses genuine existential-level risks, and that the way to address those risks is not to slow development but to pursue it more carefully, with safety research as the primary scientific agenda rather than an afterthought.

    Leadership Style and Public Profile

    Amodei is more publicly visible than most AI lab CEOs, regularly writing long-form essays on AI policy and safety, appearing before Congress, and engaging directly with critics of both the AI safety field and of Anthropic specifically. His October 2024 essay “Machines of Loving Grace” — a detailed argument for why advanced AI could be profoundly beneficial — generated significant attention and debate across the AI community.

    Net Worth

    Forbes estimated Dario Amodei’s net worth at approximately $7 billion as of February 2026, reflecting his co-founder equity in Anthropic at the company’s current valuation. As one of the largest individual stakeholders in a company targeting a $400-500B IPO valuation, this figure could change substantially if the public offering proceeds as expected.

    Frequently Asked Questions

    What is Dario Amodei’s net worth?

    Forbes estimated approximately $7 billion as of February 2026, based on his co-founder equity in Anthropic.

    Why did Dario Amodei leave OpenAI?

    Amodei and colleagues grew concerned that commercial pressures — particularly OpenAI’s Microsoft partnership — were creating structural tensions with rigorous AI safety research as the primary mission.

    Where did Dario Amodei go to school?

    Dario Amodei studied physics at Princeton and earned a PhD in computational neuroscience from Stanford University.

  • Anthropic IPO 2026: What’s Confirmed, What’s Rumored, and Where to Track It

    Anthropic IPO 2026: What’s Confirmed, What’s Rumored, and Where to Track It

    Last refreshed: May 15, 2026

    ⚠️ No confirmed IPO date exists as of May 8, 2026. Anthropic has not filed an S-1, set a ticker, or announced a listing date. What exists are credible reports of a Q4 2026 target — but no official confirmation. Everything below is sourced and dated. Click any link to get the latest.

    Where Things Actually Stand

    Anthropic is widely expected to pursue an IPO, and the signals are real — but no date has been set. Here is what is confirmed versus what is reported:

    Confirmed Facts (Primary Sources)

    • Current valuation: $380 billion — set in the February 2026 Series G round led by GIC and Coatue. This is the last confirmed, announced valuation. (CNBC, April 29 2026)
    • Revenue run rate: $30B+ annualized — confirmed by Anthropic directly in May 2026. Sources with knowledge of financials put the real figure closer to $40B. (TechCrunch, April 29 2026)
    • IPO law firm engaged: Wilson Sonsini hired to prepare for a potential public listing — confirmed by the Financial Times in December 2025.
    • Preliminary bank conversations: Anthropic has held early-stage talks with investment banks — confirmed by multiple sources, no banks named publicly.
    • No S-1 filed. The SEC has received no public filing from Anthropic as of this writing.

    Reported But Unconfirmed

    • Q4 2026 IPO target — discussed by Anthropic executives internally according to The Information. Bankers reportedly expect the offering could raise more than $60 billion. (TECHi, sourcing The Information)
    • ~$900 billion valuation round in progress — as of April 30, 2026, TechCrunch reported Anthropic was asking investors to submit allocations within 48 hours for a ~$50 billion raise at a $850–$900 billion valuation. A board decision was expected in May 2026. Anthropic declined to comment. (TechCrunch, April 30 2026)
    • October 2026 — cited in some reports as the earliest possible listing window. Not confirmed by Anthropic.
    • $60B+ raise — reported figure for the eventual IPO offering size. Unconfirmed.

    The Valuation Trajectory

    The speed of Anthropic’s private-market repricing is unlike anything in recent tech history:

    • March 2025: $61.5 billion (Series D, led by Lightspeed)
    • September 2025: $183 billion (Series F)
    • February 2026: $380 billion (Series G, led by GIC and Coatue)
    • May 2026: ~$900 billion reportedly under discussion — not yet closed

    Some early backers are reportedly skipping the current round specifically to wait for IPO pricing — a signal that sophisticated money sees the public listing as potentially more attractive than another late-stage private markup.

    Why There’s No Confirmed Date Yet

    Anthropic is a public benefit corporation, which adds governance complexity to any listing. The company is also in the middle of closing what may be its final private round — and closing a $50 billion raise takes time. Until an S-1 is filed with the SEC, no IPO date is official. PitchBook analyst Kyle Stanford has noted that a crowded private financing cycle could push a listing into 2027 if the current round takes longer than expected.

    Who Owns Anthropic Before Any IPO

    Major confirmed investors include Amazon (up to $50 billion committed), Google (up to $40 billion committed), Nvidia ($30 billion), SoftBank ($30 billion), plus Accel, BlackRock-affiliated funds, Fidelity, General Catalyst, Goldman Sachs Alternatives, JPMorganChase, Lightspeed, Menlo Ventures, Morgan Stanley Investment Management, Sequoia, and Temasek. More than 1,000 enterprise customers now spend over $1 million annually on Claude — a figure Anthropic disclosed publicly in May 2026.

    Keep Up With This Story

    This is a fast-moving situation. The sources below are updated in real time — bookmark them if you want the latest as it breaks:

    Want the deeper picture on who is building this company? Read our analysis of Anthropic’s founders and leadership — the most-read piece on this site in this category.

  • Claude AI Alternatives: 10 Tools for When Claude Isn’t Enough

    Claude AI Alternatives: 10 Tools for When Claude Isn’t Enough

    Last refreshed: May 15, 2026

    Claude AI · Fitted Claude

    Claude is one of the best AI assistants available — but it’s not the right tool for every job. It can’t generate images, doesn’t have default real-time web access, and lacks deep Google Workspace integration. Here are the 10 best Claude alternatives, each matched to where it genuinely wins.

    1. ChatGPT — Best All-Around Alternative

    Use when: You need image generation (DALL-E), broader plugin ecosystem, or voice mode. Price: Free / $20/month Plus / $200/month Pro.

    2. Perplexity — Best for Real-Time Research

    Use when: You need current information with source citations. Searches the live web in real time. Price: Free / $20/month Pro.

    3. Gemini — Best for Google Workspace

    Use when: You live in Gmail, Docs, Sheets, or Drive. Native integration across all Google Workspace apps. Price: Free / $20/month Advanced.

    4. Midjourney — Best for AI Image Generation

    Use when: You need high-quality AI-generated images. Claude cannot generate images at all. Price: $10-120/month.

    5. GitHub Copilot — Best IDE-Native Coding

    Use when: You want AI coding assistance embedded in VS Code or JetBrains with persistent autocomplete. Price: $10/month individual.

    6. Otter.ai — Best for Audio Transcription

    Use when: You need to transcribe meetings or audio files. Claude cannot process audio directly. Price: Free / from $10/month.

    7. Jasper — Best for Marketing Content at Volume

    Use when: You’re a marketing team producing high volumes of structured content with brand voice memory and SurferSEO integration. Price: From $49/month.

    8. Microsoft Copilot — Best for Office 365

    Use when: Your work lives in Word, Excel, PowerPoint, Teams, and Outlook. Native M365 suite integration. Price: $30/user/month.

    9. Notion AI — Best for Workspace-Embedded Writing

    Use when: You want AI assistance directly inside Notion — summarizing pages, drafting within documents, auto-filling databases. Price: $8-10/month add-on.

    10. DeepSeek — Best for Cost-Sensitive API Use

    Use when: Building API applications where per-token cost is the primary constraint and you’re not handling sensitive data. DeepSeek API is 10-20x cheaper. Note data sovereignty considerations. Price: Free consumer / very cheap API.

    Frequently Asked Questions

    What is the best free alternative to Claude AI?

    Gemini has the most generous free tier with capable model access. Perplexity free includes limited Pro searches. ChatGPT free uses GPT-4o-mini.


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  • Claude Max Plan: Who Actually Needs $100/Month

    Claude Max Plan: Who Actually Needs $100/Month

    Last refreshed: May 15, 2026

    Claude AI · Fitted Claude

    The jump from Claude Pro to Max is a 5x price increase — $20/month to $100/month. Whether it’s worth it depends entirely on how you use Claude and where your current plan fails you. Here’s the data to make that decision.

    What’s Actually Different

    Feature Pro ($20/mo) Max 5x ($100/mo) Max 20x ($200/mo)
    Usage volume Baseline 5x Pro 20x Pro
    Heavy prompts/day ~12 ~60 ~240
    Claude Code No Yes Yes
    Extended thinking Limited Full Full
    Model access Sonnet + Opus Sonnet + Opus Sonnet + Opus

    Key insight: you don’t get different models at Max — you get more of them. The difference is usage capacity and Claude Code access.

    Who Should Stay on Pro

    • You use Claude regularly but not all day — a few substantive sessions per week
    • You’re hitting limits occasionally but not consistently
    • You don’t need Claude Code

    Who Needs Max 5x

    • You hit Pro limits daily and it disrupts your workflow
    • You want Claude Code — only available at Max tiers
    • Claude is your primary work tool, not supplementary

    Who Needs Max 20x

    • Heavy Claude Code user running multi-hour sessions daily
    • Processing massive document volumes — dozens of long PDFs per day
    • You’ve been hitting Max 5x limits regularly

    Frequently Asked Questions

    What does Claude Max include that Pro doesn’t?

    Claude Code access, higher usage limits (5x or 20x), full extended thinking, and higher priority during peak times.

    Is Claude Max worth $100 a month?

    For developers using Claude Code and professionals hitting Pro limits daily: yes. For moderate users: Pro at $20/month is sufficient.


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  • Claude vs Perplexity: Research Engine vs Reasoning Partner

    Claude vs Perplexity: Research Engine vs Reasoning Partner

    Last refreshed: May 15, 2026

    Claude AI · Fitted Claude

    Comparing Claude to Perplexity is a category error — they’re not trying to do the same thing. Perplexity is a real-time research engine. Claude is a reasoning partner. Understanding the distinction helps you build the most effective research workflow.

    What Perplexity Does Best

    • Real-time information: Searches the live web, summarizes current events with source links
    • Source citation: Every claim has source links for verification
    • Quick research: Fast sourced answers for “what is X” and “what happened with Y”
    • Academic research: Academic mode searches peer-reviewed papers

    What Claude Does Best

    • Deep reasoning: Complex multi-step analysis and strategic thinking
    • Document synthesis: Upload a 200-page report and ask for analysis — Perplexity cannot do this
    • Writing quality: Significantly stronger long-form writing
    • Code: One of the best coding models. Perplexity is not a coding tool.
    • Private documents: Works with confidential content you upload

    The Hybrid Workflow (Best of Both)

    1. Perplexity first: Rapid research, current information, source discovery
    2. Claude second: Synthesis, analysis, writing. Take what Perplexity found and reason through the implications

    At $20/month each, running both costs $40/month — worth it for professionals who research and write regularly.

    Frequently Asked Questions

    Should I use Claude or Perplexity for research?

    Use Perplexity for finding current information with sources. Use Claude for analyzing, synthesizing, and writing. Ideally, use both — Perplexity first, Claude second.

    Does Claude have real-time web access?

    Not by default. Claude has a knowledge cutoff and doesn’t browse the web in real time unless connected via MCP or specific integrations.


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  • Claude vs DeepSeek: Performance, Pricing, and Privacy

    Claude vs DeepSeek: Performance, Pricing, and Privacy

    Last refreshed: May 15, 2026

    Model Accuracy Note — Updated May 2026

    Current flagship: Claude Opus 4.7 (claude-opus-4-7). Current models: Opus 4.7 · Sonnet 4.6 · Haiku 4.5. Claude Opus 4.7 (claude-opus-4-7) is the current flagship as of April 16, 2026. Where this article references Opus 4.6 or earlier models, those references are historical. See current model tracker →. See current model tracker →

    Claude AI · Fitted Claude

    DeepSeek emerged as the most disruptive AI development since GPT-4 — a Chinese lab producing frontier-quality models at dramatically lower cost. In 2026, it’s a genuine competitor to Claude in several categories. But the comparison isn’t only about performance. Privacy and data sovereignty matter. This guide covers all three dimensions.

    Performance Comparison

    Benchmark Claude Opus 4.6 DeepSeek
    SWE-bench (coding) 80.8% ~49% (V3), higher for R1
    GPQA Diamond 91.3% Competitive
    Math reasoning Top tier R1 leads on pure math
    Context window 200K tokens 128K tokens

    Claude leads on real-world software engineering and long-document reasoning. DeepSeek R1 is competitive or superior on pure math. For most professional use cases, Claude holds the performance edge.

    Pricing Comparison

    DeepSeek’s API pricing is 10-20x cheaper than Claude’s — roughly $0.27-0.55 per million input tokens vs Claude’s $3-15. For high-volume API applications where cost is the primary constraint, DeepSeek is a serious consideration. The consumer interface is free vs Claude’s $20-200/month paid tiers.

    The Privacy Question

    DeepSeek is a Chinese company. Its data handling is subject to Chinese law, which includes requirements to provide user data to Chinese government authorities under certain circumstances. Multiple national governments have restricted DeepSeek on government systems. For professionals handling confidential client data or sensitive business information, the data sovereignty difference between Anthropic (US-incorporated) and DeepSeek (Chinese-incorporated) is material.

    Choose Claude If You…

    • Handle confidential professional, legal, or medical data
    • Need highest performance on software engineering tasks
    • Require long-document analysis (200K vs 128K context)
    • Need US-based data handling

    Frequently Asked Questions

    Is DeepSeek as good as Claude?

    Competitive on math and logic. Claude leads on SWE-bench software engineering, long documents, and writing quality.

    Is DeepSeek safe to use?

    For general consumer use, immediate risk is low. Professionals handling sensitive data should consider DeepSeek’s Chinese data jurisdiction carefully.


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  • MCP Servers Explained: Model Context Protocol Tutorial

    MCP Servers Explained: Model Context Protocol Tutorial

    Last refreshed: May 15, 2026

    Claude AI · Fitted Claude

    Model Context Protocol (MCP) is the most important infrastructure development in Claude’s ecosystem in 2026. It’s an open standard for connecting AI models to external tools, data sources, and services — replacing fragmented one-off integrations with a universal interface. This guide explains what MCP is and how to set up your first server.

    What Is MCP?

    MCP defines a universal interface: any tool that implements the MCP server specification can connect to any AI application implementing the MCP client specification. Build once, connect anywhere. Before MCP, connecting Claude to external systems required custom integration code for every integration — and none of it worked across different AI tools.

    MCP Architecture

    • MCP Host: The AI application (Claude desktop, Claude Code, your custom app)
    • MCP Client: Built into the host; manages connections to servers
    • MCP Server: Lightweight program exposing tools, resources, or prompts

    Setting Up MCP in Claude Desktop

    Go to Settings → Developer → Edit Config. Add your server configuration:

    {
      "mcpServers": {
        "filesystem": {
          "command": "npx",
          "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/directory"]
        }
      }
    }

    Restart Claude Desktop. Claude can now read, write, and manage files in your specified directory.

    Popular MCP Servers

    Server What It Does
    Filesystem Read/write local files
    GitHub Manage repos, issues, PRs
    PostgreSQL Query databases
    Slack Read/send messages
    Brave Search Real-time web search
    Zapier Connect to 8,000+ apps

    Frequently Asked Questions

    Is MCP open source?

    Yes. Anthropic open-sourced the MCP specification and official server implementations.

    Do I need to code to use MCP?

    To install existing servers: basic command-line comfort is enough. To build custom servers: TypeScript or Python knowledge required.


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  • Claude API Tutorial: Python and JavaScript Getting Started

    Claude API Tutorial: Python and JavaScript Getting Started

    Last refreshed: May 15, 2026

    Model Accuracy Note — Updated May 2026

    Current flagship: Claude Opus 4.7 (claude-opus-4-7). Current models: Opus 4.7 · Sonnet 4.6 · Haiku 4.5. Claude Opus 4.7 (claude-opus-4-7) is the current flagship as of April 16, 2026. Where this article references Opus 4.6 or earlier models, those references are historical. See current model tracker →. See current model tracker →

    Claude AI · Fitted Claude

    The Claude API gives you programmatic access to Claude in your own applications and scripts. This guide gets you from zero to a working integration in Python or JavaScript.

    Prerequisites

    • Anthropic account at console.anthropic.com
    • API key from Console → API Keys
    • Python 3.7+ or Node.js 18+

    Installation

    # Python
    pip install anthropic
    
    # JavaScript
    npm install @anthropic-ai/sdk

    Your First API Call (Python)

    import anthropic
    
    client = anthropic.Anthropic(api_key="your-api-key-here")
    
    message = client.messages.create(
        model="claude-sonnet-4-6",
        max_tokens=1024,
        messages=[{"role": "user", "content": "Explain APIs in plain English."}]
    )
    print(message.content[0].text)

    Adding a System Prompt

    message = client.messages.create(
        model="claude-sonnet-4-6",
        max_tokens=1024,
        system="You are a helpful customer support agent for Acme Corp.",
        messages=[{"role": "user", "content": "How do I reset my password?"}]
    )

    Streaming Responses

    with client.messages.stream(
        model="claude-sonnet-4-6",
        max_tokens=1024,
        messages=[{"role": "user", "content": "Write a 500-word blog post about AI."}]
    ) as stream:
        for text in stream.text_stream:
            print(text, end="", flush=True)

    Model Selection

    Model String Best For
    Claude Opus 4.6 claude-opus-4-7 Complex reasoning, coding
    Claude Sonnet 4.6 claude-sonnet-4-6 Balanced everyday tasks
    Claude Haiku 4.5 claude-haiku-4-5-20251001 Fast lightweight tasks

    Frequently Asked Questions

    How much does the Claude API cost?

    Pricing is per token (input and output separately). Check anthropic.com/pricing. Haiku is cheapest, Sonnet offers the best cost/quality balance for most applications.

    Do I need a Claude subscription to use the API?

    No. API access is separate. Create an Anthropic Console account and pay per token used.


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  • Claude Extended Thinking: When and How to Use It

    Claude Extended Thinking: When and How to Use It

    Last verified: June 13, 2026

    Claude AI · Fitted Claude

    Extended thinking is Claude’s most powerful reasoning mode — and the one most people never use correctly. This guide explains what extended thinking does, when it genuinely improves outputs, how to enable it, and when you’re better off with a standard prompt.

    What Is Extended Thinking?

    Extended thinking gives Claude a dedicated reasoning phase before generating its final response. Claude works through a problem on “scratch paper” before writing its answer — exploring multiple approaches, identifying errors in its own reasoning, and building a more deliberate chain of thought. On current Claude models (Fable 5, Opus 4.8, Sonnet 4.6), this works through adaptive thinking — Claude dynamically decides when and how much to think based on problem complexity, instead of you setting a fixed token budget.

    When Extended Thinking Genuinely Helps

    • Complex math and logic problems requiring step-by-step reasoning
    • Multi-step coding tasks with many interdependent components
    • Strategic analysis requiring weighing many variables
    • Difficult research synthesis where accuracy matters most
    • Any task where “think step by step” would help — extended thinking does this automatically

    When Extended Thinking Is Overkill

    • Simple factual questions with clear answers
    • Routine writing tasks (emails, summaries, short copy)
    • Format conversion or data transformation
    • Tasks where speed matters more than depth

    How to Enable Extended Thinking

    In Claude.ai: Look for the thinking toggle before sending your message.

    Via API (current models — Fable 5, Opus 4.8, Sonnet 4.6): Use adaptive thinking and let Claude decide the depth:

    "thinking": { "type": "adaptive" },
    "output_config": { "effort": "high" }

    The effort parameter — low, medium, high, xhigh, or max — controls how much Claude thinks and how many tokens it spends. Default is high. Use xhigh for coding and agentic work; low for fast, simple tasks. (xhigh is available on Fable 5 and Opus 4.7+; max on Opus-tier 4.6+ and Sonnet 4.6.)

    ⚠ budget_tokens is deprecated. The old "thinking": {"type": "enabled", "budget_tokens": N} form returns a 400 error on Fable 5, Opus 4.7, and Opus 4.8. It is deprecated but still functional on Opus 4.6 and Sonnet 4.6. Only legacy models (e.g. Sonnet 4.5) still require it, where budget_tokens must be less than max_tokens. For all new code, use adaptive thinking plus effort instead.

    What You See During Extended Thinking

    In claude.ai, Claude shows a collapsed “thinking” section before its response. Expand it to see the reasoning chain — useful for verifying logic or understanding how Claude approached a problem. The thinking section is exploratory and may contain dead ends; this is normal.

    Via API, on Fable 5, Opus 4.7, and Opus 4.8 the thinking text is omitted by default (the blocks stream but their text is empty). To see summarized reasoning, request "thinking": {"type": "adaptive", "display": "summarized"}.

    Frequently Asked Questions

    Does extended thinking always give better answers?

    No. It improves accuracy on complex reasoning tasks but adds latency. For simple tasks, standard mode is faster and just as accurate.


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