Top 10 Tips for Working with Claude Like a Pro — Maximize Efficiency on Any Budget

Claude has become an indispensable tool for developers, marketers, designers, and creators. But with token limits, subscription tiers, and multiple features (Projects, Skills, Memory, Cowork), it's easy to burn through your budget or hit frustrating limitations.

Whether you're on the $20 Pro plan or the $200+ Team plan, these 10 tips will help you work smarter, not harder — maximizing output while minimizing token waste and subscription costs.

I've spent months optimizing my Claude workflow, and these strategies have helped me stay productive without constantly upgrading plans or running out of tokens mid-project.

1. The Disposable Model Strategy: Work vs. Throw-Away Chats

The Problem: Every Claude conversation uses tokens from your monthly limit. Asking random questions or experimenting in your main workspace burns valuable context.

The Solution: Adopt a two-model system:

Work Model (Claude Pro/Team)

Use for:

• Production work requiring accuracy
• Long-term projects with context retention
• Code generation and debugging
• Content creation for clients or publication

Disposable Model (ChatGPT Free, Claude Free, or Perplexity)

Use for:

• Quick research questions
• Brainstorming without consequences
• Testing ideas before committing
• Non-contextual queries that don't need history

Example:

❌ BAD: Asking Claude Pro "What's the capital of France?" in your main coding project
✅ GOOD: Use free ChatGPT for quick facts, save Claude for actual work

Why This Works: Context management is critical in 2026 — every message adds to your conversation length, degrading performance over time. By keeping work conversations focused and moving non-essential queries elsewhere, you preserve Claude's ability to deliver high-quality, context-aware responses where it matters.

Pro Tip: Create separate browser profiles or use different devices for work vs. disposable models. This physical separation makes it harder to accidentally pollute your work environment.

2. Opus Is a Carrot, Sonnet Is Your Workhorse

The Myth: Opus is always better than Sonnet, so I should use it for everything.

The Reality: Sonnet 4.6 scores 79.6% on SWE-bench Verified — just 1.2 points behind Opus 4.6's 80.8%, making it one of the smallest performance gaps in Claude's history.

Cost Comparison (2026)

Sonnet delivers nearly identical code quality for 40% less money and faster output.

When to Use Each Model

Sonnet 4.6 (Your Default):

• Standard code generation
• Bug fixes and debugging
• Content writing and editing
• API integrations
• UI/UX design
• Data analysis
• Marketing copy

Opus 4.6 (Reserve for Complex Work):

• Full codebase refactoring (500+ files)
• System architecture design
• Multi-agent orchestration
• High-stakes debugging where errors cost $10,000+
• Complex algorithm optimization
• Enterprise-scale migrations

Haiku 4.1 (For Speed):

• File renaming
• Simple text formatting
• Quick summaries
• Batch processing simple tasks

Real Example:

I switched from using Opus for everything to smart routing (90% Sonnet / 10% Opus) and cut my monthly API costs by 78% while maintaining the same output quality. A team doing this plus caching optimization can reduce costs by 75-90%.

Action Item: Track your usage for one week. Tag each session as "Sonnet-appropriate" or "Opus-required." You'll likely find 85%+ of tasks work fine on Sonnet.

3. Track Usage Like a Finance Manager

The Problem: You hit token limits mid-project and can't figure out why. You upgrade to a higher plan, but the problem persists.

The Solution: Implement usage tracking and pattern analysis.

Create a Usage Tracking System

Keep a simple spreadsheet or note:

# Claude Usage Log

## Week of June 1-7, 2026

| Task | Model | Success? | Token Estimate | Notes |
|------|-------|----------|----------------|-------|
| Landing page copy | Sonnet | ✅ Yes | ~5K | Perfect first try |
| Email subject lines | Sonnet | ❌ No | ~3K | Generic, switched to GPT-4 |
| React component | Sonnet | ✅ Yes | ~8K | Great code |
| Blog post outline | Haiku | ✅ Yes | ~2K | Fast and good enough |
| Architecture diagram | Opus | ✅ Yes | ~12K | Worth the cost |

Identify Pattern Failures

After 2 weeks, you'll notice patterns:

Tasks Claude Handles Well:

• Technical documentation
• Code generation and refactoring
• Complex reasoning chains
• Creative writing with structure

Tasks Claude Struggles With:

• Short-form marketing copy (subject lines, ad copy)
• Highly formulaic content
• Simple design tasks

Action: For tasks Claude consistently fails at, switch to a specialized alternative:

• Subject lines: Use GPT-4 free version or Copy.ai
• Simple design: Use Canva's AI designer
• Data visualization: Use Tableau or Power BI with built-in AI

Pro Tip: Not every AI task needs Claude. Smart routing saves 40-60% on average by matching tasks to the right tool.

4. Always Work Inside Projects (Not Ad-Hoc Chats)

The Problem: Starting new conversations for every task means:

• Re-explaining context every time
• No shared memory across sessions
• Wasted tokens on repeated instructions
• Inconsistent outputs

The Solution: Projects are persistent workspaces that save time, tokens, and money.

What Are Projects?

Projects in Claude let you:

• Upload reference files (docs, code, design specs)
• Set custom instructions that apply to every chat
• Build context once and reuse it indefinitely
• Share projects with team members

When to Use Projects

✅ Use Projects For:

• Long-term work: Client projects, product development, ongoing content series
• Complex context: Multi-file codebases, brand guidelines, style guides
• Team collaboration: Shared context across multiple people
• Iterative work: Designs that evolve, code that gets refactored

❌ Don't Use Projects For:

• One-off questions
• Quick experiments
• Temporary brainstorming
• Tasks under 5 minutes

How to Configure Projects

Create a strong project foundation:

1. Add a Custom Instruction (Project-Level CLAUDE.md):

# Brand Voice Guidelines

- Tone: Professional but approachable
- Avoid: Corporate jargon, buzzwords, fluff
- Writing style: Short sentences, active voice, clear CTAs
- Target audience: Technical founders (25-45, B2B SaaS)

# Code Standards

- Language: TypeScript (strict mode)
- Framework: Next.js 16 App Router
- Styling: Tailwind CSS with custom design system
- Testing: Vitest + Testing Library

2. Upload Key Files:

• Brand guidelines (PDF)
• Design system (Figma export or code)
• Code style guide
• Past successful outputs (examples)

3. Organize by Work Type:

My Projects/
├── Client: ACME Corp (landing pages, blog posts)
├── Personal: Portfolio Site (Next.js codebase)
├── Marketing: ExplainX Content (SEO blog posts)
└── Experiments: AI Testing (disposable sandbox)

Result: Research shows Project mode improves output quality more than switching models, because consistent context beats raw intelligence.

5. Skills vs. Projects: Choose the Right Tool

Confusion: "Should I create a Skill or use a Project?"

The Framework:

Use Skills When:

✅ Short, repetitive context — Same format, different inputs

• Example: Converting Markdown to formatted social posts
• Example: Code review checklist (same structure every time)
• Example: Email template generation

✅ Portable across projects — Reusable in multiple contexts

• Example: "frontend-design" skill works for any UI task
• Example: "commit-message" skill works in any codebase

✅ Self-contained — No external files needed

• Example: Text transformation rules
• Example: Formatting guidelines

Use Projects When:

✅ Large, evolving context — Codebases, design systems, brand docs

• Example: Building a SaaS dashboard (50+ components)
• Example: Writing a book series (shared characters, world-building)

✅ Multiple file dependencies — Needs access to uploaded docs

• Example: Legal contract generation (needs template files)
• Example: Brand content (needs style guide PDFs)

✅ Long-term collaboration — Team members need shared context

• Example: Client project with multiple contributors

Real-World Examples

✅ GOOD: Skill Use Case

# SKILL: generate-twitter-thread

Given a blog post URL, create a 7-tweet thread:
1. Hook tweet (question or stat)
2-6. Key points with examples
7. CTA with link

Format: Each tweet under 280 chars, include emojis, no hashtags.

✅ GOOD: Project Use Case

# PROJECT: Redesign E-commerce Checkout

Files uploaded:
- current-checkout-flow.pdf
- user-research-findings.pdf
- design-system-tokens.json
- competitor-analysis.md

Context: Multi-month project, 3 team members, 50+ design iterations.

❌ BAD: Using Project for Skill Work Creating a separate Project for "write email subject lines" when a Skill would be reusable across all email projects.

Pro Tip: Skills use progressive disclosure — Claude loads only minimal metadata first, then additional files only if relevant. This saves tokens compared to uploading files into Projects every time.

6. Memory: Your Secret Weapon (With Caveats)

Claude's Memory system shipped in v2.1.59 on February 26, 2026, and it's a game-changer — but it requires careful management.

How Memory Works

Two Types:

1. CLAUDE.md Files — Persistent instructions you write manually
2. Auto Memory — Claude automatically remembers facts about you, your preferences, and your work style

When Memory Shines

✅ Personal preferences:

• "I prefer TypeScript over JavaScript"
• "Always use Tailwind CSS, never inline styles"
• "I'm working on a SaaS product for developers"

✅ Workflow patterns:

• "Run tests before committing"
• "Always add JSDoc comments to functions"
• "Format currency as USD cents (not dollars)"

✅ Project context:

• File locations
• Naming conventions
• Dependencies and versions

When to Be Careful

⚠️ During screen shares or demos:

Memory includes personal info like:

• Your name and role
• Company details
• Internal project names
• Confidential preferences

Solution: Temporarily disable Memory or create a separate "demo" profile for public presentations.

⚠️ When context drifts:

If Claude starts making incorrect assumptions based on old memory, you might need to:

• Clear outdated facts
• Start fresh with a new Project
• Manually correct misconceptions

Memory Best Practices

✅ DO:

• Let Memory capture preferences naturally over time
• Review memory periodically (monthly) to remove outdated info
• Use Memory for personal workflow, not sensitive data

❌ DON'T:

• Store API keys or credentials in Memory
• Let Memory accumulate contradictory rules
• Rely on Memory for critical business logic (use CLAUDE.md instead)

Pro Tip: The root project CLAUDE.md should stay small and stable. Deep, topic-specific, or conditional rules belong in modular files under .claude/rules/.

7. Plan First, Execute Later (For Complex Tasks)

The Problem: You ask Claude to "build a full e-commerce platform," and it immediately starts writing code — then gets stuck 30% through because it didn't think through architecture.

The Solution: Use Plan Mode for multi-step or complex tasks.

What Is Plan Mode?

Plan Mode tells Claude to:

1. Break down the task into logical steps
2. Identify dependencies and potential issues
3. Present the plan for your approval
4. Execute only after you confirm

When to Use Plan Mode

✅ Use Plan Mode For:

• Multi-file changes: Refactoring 10+ files
• Architectural decisions: Choosing between approaches
• Complex features: Payment integration, auth systems
• High-risk tasks: Database migrations, production deployments

❌ Don't Use Plan Mode For:

• Single-file edits
• Simple bug fixes
• Quick content generation
• Formatting tasks

How to Trigger Plan Mode

Explicit instruction:

"Before you start coding, create a detailed plan for implementing user authentication with the following requirements: [...]"

Or use Claude Code's Plan Mode: In Claude Code CLI, enable Plan Mode in settings — Claude will automatically plan before executing for large tasks.

Example: Before Plan Mode

Your prompt:

"Add dark mode to my Next.js app"

Claude's response:

Immediately starts writing code for 20 files, then realizes halfway through that your design system doesn't support dark mode tokens

❌ Result: 15,000 wasted tokens, partial implementation, hours of cleanup.

Example: With Plan Mode

Your prompt:

"Before implementing, create a plan for adding dark mode to my Next.js app. Consider design tokens, component updates, and user preferences."

Claude's response:

# Dark Mode Implementation Plan

## Phase 1: Design Tokens (Foundational)
1. Audit existing color system
2. Create dark mode color palette
3. Define CSS variables for both modes
4. Update Tailwind config

## Phase 2: Theme Toggle System
1. Add theme provider (next-themes)
2. Create toggle component
3. Persist user preference (localStorage)
4. Add system preference detection

## Phase 3: Component Updates
1. Update 25 components to use CSS variables
2. Test each component in both modes
3. Fix contrast issues

## Phase 4: Testing & Polish
1. Manual QA on all pages
2. Accessibility audit (WCAG AA)
3. Performance check (no FOUC)

Estimated effort: 4-6 hours
High-risk areas: Charts/graphs may need manual color overrides

Shall I proceed with Phase 1?

✅ Result: Clear roadmap, no wasted effort, you can approve or adjust before execution.

Pro Tip: When enabling Plan Mode for longer tasks, also enable Opus — the combination of planning + deeper reasoning ensures complex projects succeed on the first try.

8. Getting Best Outputs: Context Is King

The Universal Truth: Good output = good context = good prompt.

Always Enable Web Search for Marketing Tasks

Claude's web search feature (available on Pro+ plans) dramatically improves output quality for:

• Market research
• Competitive analysis
• Trend reports
• SEO content
• Current events

How to Trigger Web Search:

✅ "Research the top 5 CRM tools for small businesses in 2026"
✅ "Look up best practices for Next.js performance optimization"
✅ "Find recent case studies on AI in healthcare"

❌ "Tell me about CRM tools" (Won't trigger search)

Magic words: "Research," "look up," "find recent," "current," "latest."

Why This Matters: Without web search, Claude is limited to training data (cut-off January 2025). Enabling search pulls live data, making marketing content accurate and timely.

Share Expected Formats

❌ BAD Prompt:

"Create a pricing page for my SaaS product"

Claude will guess the format — might give you JSON, might give you HTML, might give you a bulleted list.

✅ GOOD Prompt:

"Create a pricing page for my SaaS product.

Expected format:
- React component (TypeScript)
- Tailwind CSS for styling
- 3 tiers: Starter, Pro, Enterprise
- Feature comparison table
- Toggle for monthly/annual pricing

Reference design: [attach screenshot or Figma link]"

Pro Tip: Create a Project-level instruction with your preferred formats:

# Output Formats

## Code
- Language: TypeScript (strict mode)
- Framework: Next.js 16 App Router
- Styling: Tailwind CSS
- Comments: JSDoc for functions

## Content
- Style: AP Style Guide
- Tone: Professional but approachable
- Length: 1,200-1,500 words for blog posts
- Structure: H2 sections, bullet points, code examples

## Design
- Tool: React + Tailwind (never Figma or Canva)
- Colors: From design-system.json (attached)
- Spacing: Tailwind defaults (never arbitrary values)

Now every output in that Project follows your standards automatically.

Don't Abuse the Model

Common mistake: Blaming Claude for poor output when your prompt lacked information.

❌ Vague:

"Make this better"

✅ Specific:

"Improve this landing page copy to: (1) Reduce word count by 30%, (2) Add specific metrics/proof points, (3) Strengthen the CTA, (4) Match our brand voice (professional but approachable)."

Review checklist before blaming Claude:

• Did I provide enough context?
• Did I specify the format I want?
• Did I include examples or reference material?
• Did I clarify constraints (length, tone, technical level)?

Context engineering matters more than prompt wording — everything Claude receives (system prompts, files, memory, examples, constraints) shapes the output.

9. Design Tips: Avoid Token Traps

Design work in Claude can be incredibly powerful — or incredibly wasteful. Here's how to get the best results without burning tokens.

Use the "frontend-design" Skill

The frontend-design skill is specifically optimized to:

• Analyze your design needs
• Choose appropriate patterns
• Generate production-ready code
• Avoid "AI slop" (generic-looking designs)

How it works: The skill researches your use case, references design best practices, and creates custom components tailored to your needs — not cookie-cutter templates.

✅ USE:

/frontend-design: Create a dashboard layout for a SaaS analytics tool

❌ DON'T:

"Design a dashboard" (without the skill — you'll get generic Tailwind examples)

Avoid PPTs and PDFs in Claude

The Problem: Creating PowerPoint presentations or fancy PDFs in Claude:

• Consumes 10,000-20,000+ tokens
• Produces mediocre results (formatting breaks, images don't work)
• Takes 5-10x longer than using native tools

The Solution: Use Canva connector for presentations.

Example workflow:

1. Use Claude to write the content (outline, talking points, key stats)
2. Copy the content into Canva's AI template generator
3. Canva creates a fully designed, professional presentation in 2 minutes

Why This Works:

• Canva is purpose-built for visual design
• Native tools understand layouts, fonts, colors
• You save 15,000+ Claude tokens

Same principle for PDFs:

• Use Claude to generate content (report copy, data analysis)
• Use tools like Typst, LaTeX, or InDesign for final formatting

Use External Connectors for Design

Claude's integrations with design tools are powerful — use them:

✅ Figma Connector:

• Read existing designs
• Generate design tokens
• Create component specs
• Don't generate actual designs (Figma's AI is better)

✅ Canva Connector:

• Auto-generate slide decks
• Create social media graphics
• Design infographics

✅ Miro/FigJam Connectors:

• Brainstorming and whiteboarding
• Flowcharts and diagrams
• Collaborative planning

Principle: Let native platforms deliver the best experience. Claude orchestrates and generates content; specialized tools handle visual execution.

10. Coding Tips: Claude's Sweet Spot (With Guardrails)

Coding is Claude's most stable and advanced use case — but you still need guardrails to stay safe and efficient.

Take Control of Terminal Commands

The Risk: Claude Code can execute terminal commands automatically. This is powerful but dangerous.

❌ DANGEROUS:

# Claude might run:
rm -rf /important-folder  # Deletes everything
git push --force          # Overwrites remote history
npm install malicious-pkg # Installs malware

✅ SAFE:

1. Review every command before execution
2. Understand what it does — don't approve blindly
3. Reject commands that fall outside your understanding

Settings to Enable:

• Require approval for all Bash commands (Settings → Safety)
• Sandbox mode for experimental projects
• Command logging to review history

Approve Commands One at a Time

Why: Batch approvals can hide dangerous commands in a sequence.

Example:

# Claude suggests:
git add .
git commit -m "Fix bug"
git push --force origin main  # ⚠️ Force push!
npm install unknown-package   # ⚠️ Suspicious package

If you approve all at once, you might miss the force push or malicious install.

Best practice:

• Read each command carefully
• Approve individually
• Ask "What does this do?" if unsure

Use Skills to Save Tokens

Two powerful coding skills:

1. caveman: Optimized for token-efficient code generation
2. frontend-design: Creates polished UIs without AI slop

Example:

❌ Without skill: 12,000 tokens for a React component with revisions
✅ With frontend-design skill: 6,000 tokens, first try perfect

Pro Tip: CLI tools like gh, aws, and gcloud are the most context-efficient way to interact with external services — they don't load tool schemas into your context window.

Let Claude Run Commands (But Stay Alert)

When to let Claude run freely:

• Standard git operations (git status, git diff)
• Package installations from known sources (npm install react)
• Test execution (npm test, pytest)
• Linting and formatting (eslint, prettier)

When to intervene:

• Database migrations
• Production deployments
• File deletions
• System-level commands (sudo, rm, chmod)

The Balance: Claude Code is most powerful when you trust it for routine tasks but stay vigilant for high-risk operations.

Bonus: Co-Work Tips for Advanced Users

Claude's Co-Work feature (connecting external tools and services) is powerful but requires careful management.

Connect Only Necessary Connectors

The Risk: Every connector increases Claude's permissions and potential for mistakes.

✅ SAFE Connectors:

• GitHub: Code review, PR management, issue tracking
• Notion: Documentation, knowledge base
• Slack (read-only): Context from team discussions

⚠️ RISKY Connectors:

• Gmail: Emails sent cannot be unsent
• Twitter/LinkedIn: Automated posts can damage reputation
• Stripe: Financial operations with no undo

Best Practice: Start with read-only access. Upgrade to write access only when you trust the workflow.

Don't Over-Automate Social Media

The Problem: Claude can post to Twitter, LinkedIn, etc. — but tone and timing matter.

❌ DANGEROUS:

"Post a daily motivational quote to Twitter at 9am"

Why it fails:

• No human review before posting
• Generic AI-generated content hurts brand
• Platforms may flag bot-like behavior

✅ BETTER:

"Draft 5 LinkedIn posts about our product launch. Save as drafts for manual review."

Pro Tip: Use Claude for content generation, not content publishing. Always add a human approval step before anything goes live.

Use Cowork for Workflow Automation

Where Cowork shines:

✅ Morning workflow:

• Pull latest GitHub issues
• Generate daily standup summary
• Create task list in Notion

✅ Research automation:

• Monitor competitor blogs (RSS)
• Summarize industry news
• Create weekly digest

✅ Code review:

• Scan new PRs for common issues
• Flag security concerns
• Suggest improvements

The key: Queue tasks in the morning and walk into finished deliverables. Cowork handles the busy work; you handle the strategy.

Beta Caution

Co-Work is still in beta (as of June 2026). Approach carefully:

• Test automations in sandbox projects first
• Monitor for false positives/errors
• Keep sensitive connectors disabled
• Have rollback plans for critical workflows

Frequently Asked Questions

Q: Should I use Opus or Sonnet for most tasks?

Use Sonnet 4.6 for 90% of your work. Sonnet delivers nearly identical quality for 40% less cost. Reserve Opus for architecture design, complex refactoring, or tasks where errors cost more than the token premium.

Q: How do I know when to start a new conversation vs. continue the current one?

Start a new conversation when:

• Switching topics completely
• Performance degrades (slow responses, confusion)
• Context becomes too long (15+ back-and-forth exchanges)

Continue the same conversation when:

• Iterating on the same task
• Building on previous context
• The topic is directly related

Q: What's the difference between Projects and Skills?

Projects: Large, evolving context with uploaded files. Use for long-term work (codebases, brand content, client projects).

Skills: Portable, reusable formatting rules. Use for repetitive tasks across multiple projects (code reviews, content templates).

Q: How can I reduce my Claude token usage by 50%+?

1. Use Sonnet instead of Opus (40% savings)
2. Route simple tasks to Haiku or free ChatGPT (60% savings on those tasks)
3. Work in Projects to avoid re-explaining context (20-30% savings)
4. Use Skills for repetitive work (50% savings on formatted outputs)
5. Enable prompt caching (up to 90% savings on repeated context)

Q: Is Claude better than ChatGPT for coding?

Claude Code is one of the most stable and advanced coding use cases, with better understanding of large codebases, superior context retention, and more accurate refactoring. ChatGPT excels at quick explanations and exploration. Use Claude for production code, ChatGPT for learning.

Q: Should I let Claude run terminal commands automatically?

No. Always review commands individually, understand what they do, and reject anything that could be destructive (rm -rf, git push --force, sudo operations). Enable command approval in settings for safety.

Q: How do I stop Claude from generating "AI slop" designs?

Use the frontend-design skill, which researches your use case and applies design best practices instead of generic templates. Also, provide reference designs or attach your design system tokens.

Q: What's the best way to handle memory with multiple projects?

Auto memory is scoped per project (one memory directory per git repo). Keep the root CLAUDE.md small and stable. Place deep, topic-specific rules in .claude/rules/ for modular context that loads only when relevant.

Summary: Your Claude Efficiency Checklist

✅ Adopt a disposable model strategy — Save Claude for real work

✅ Use Sonnet by default — Reserve Opus for 10% of complex tasks

✅ Track usage patterns — Switch tools for tasks Claude struggles with

✅ Work inside Projects — Save context and tokens

✅ Use Skills for repetition — Templates, formatting, portable rules

✅ Leverage Memory wisely — Great for preferences, risky for secrets

✅ Plan before executing — Complex tasks need architecture first

✅ Provide context — Good output = good prompt + good context

✅ Use native tools for design — Canva for slides, Figma for mockups

✅ Review terminal commands — Coding is safe when you stay alert

✅ Connect selectively — Co-Work is powerful but needs guardrails

Final Thoughts

Claude is incredibly powerful when used strategically. The difference between burning $200/month and staying comfortably within a $20 plan isn't about how much you use Claude — it's about how smart you use it.

By routing tasks to the right model, leveraging Projects and Skills, and using external connectors for specialized work, you can get Opus-level results on a Sonnet budget.

The key insight: Claude is a precision tool, not a Swiss Army knife. Use it for what it does best (coding, reasoning, complex content), and delegate everything else to specialized tools.

Start implementing these tips today, track your results for a month, and you'll be amazed at how much more you can accomplish without constantly hitting limits or upgrading plans.

Ready to master Claude? Join our AI Builder Bootcamp to learn advanced workflows, automation strategies, and professional-grade AI integration techniques.

Sources

• Claude best practices 2026: the complete power user guide
• 50 Claude Code Tips and Best Practices For Daily Use
• Best practices for Claude Code - Claude Code Docs
• Claude Features 2026: Projects, Artifacts, Memory, Computer Use, Skills, MCP
• How Claude remembers your project - Claude Code Docs
• Save Hours: Stop Repeating Yourself to Claude: Skills, Rules, Memory, and When to Use Each
• Claude Sonnet vs Opus 2026: Best Cost Comparison Guide
• Best Claude Models in 2026 — Sonnet vs Opus vs Haiku Compared
• Anthropic API Pricing 2026: Official Token Rates for Every Claude Model